Data Entry Jobs - Doha Qatar

Full Time 0 to 0 years LinkedIn

Digital Marketing Specialist

On-site - Qatar - Doha 29 June 2026

Sales

Role Overview We are seeking a highly analytical and performance-oriented Digital Marketing & Performance Specialist who understands the science behind digital engagement and paid advertising. This role is not limited to content posting. It requires a professional who understands how algorithms work, how audiences respond to digital stimuli, how ad auction systems function, and how to systematically optimize campaigns to drive measurable commercial results. The successful candidate will be responsible for driving traffic, engagement, and revenue across Qatar Living’s digital ecosystem using structured experimentation, data analysis, and behavioral marketing principles. Key Responsibilities1. Performance Marketing & Paid Media Management Plan, execute, and optimize paid campaigns across Google Ads, Meta, Linked In, Tik Tok, and other relevant platforms Manage bidding strategies (CPC, CPM, CPA) and optimize for cost efficiency and performance Improve Quality Score, Ad Relevance Score, and engagement metrics Continuously reduce Cost per Acquisition (CPA) and increase Return on Ad Spend (ROAS) 2. Data Analytics & Performance Optimization Analyze campaign data and user behavior using analytics tools (Google Analytics, Tag Manager, Meta Business Suite, etc.) Track and report on KPIs including CTR, CPA, ROAS, CAC, LTV, and conversion rates Build structured A/B testing frameworks for creatives, copy, targeting, and landing pages Interpret performance insights and translate them into actionable growth strategies 3. Behavioral Marketing & Audience Insights Apply behavioral psychology principles (social proof, urgency, authority, scarcity) into campaigns Segment audiences based on user behavior and intent Optimize conversion funnels to improve user journey and retention Identify friction points and implement improvements to increase conversions 4. Funnel Development & Marketplace Growth Drive acquisition and engagement across Qatar Living verticals (Jobs, Properties, Vehicles, Deals, etc.) Develop retargeting and lookalike audience strategies Support revenue-generating campaigns aligned with commercial objectives Collaborate with Sales and Product teams to maximize advertiser performance 5. SEO & Digital Optimization Implement SEO best practices to increase organic visibility Optimize landing pages for higher conversion rates Support technical and content improvements in collaboration with the technology team Qualifications & Experience Bachelor’s degree in Marketing, Business, Communications, or related field3–6 years of experience in performance marketing or digital growth roles Proven experience managing paid advertising budgets with measurable ROIStrong understanding of digital ad auction systems and optimization mechanics Advanced knowledge of analytics and performance tracking tools Experience in marketplace, classified platforms, or e-commerce environments is preferred Core Competencies Data-driven decision making Strong analytical and critical thinking skills Commercial awareness and revenue focus Structured experimentation mindset High ownership and accountability Ability to operate in a fast-paced digital environment Key Performance Indicators (KPIs) Traffic growth across verticals Reduction in CPAImprovement in ROASConversion rate optimization Revenue contribution from digital campaigns Campaign efficiency and budget performance

Full Time 0 to 0 years

Assistant Vice President Asset Management Middle Office

On-site - Qatar - Doha 7 July 2026

Accounting, Finance & Banking

About QNB Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region. QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines. QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications. Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine. QNB Group has an active community support program and sponsors various social, educational and sporting events. Job Summary The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements. Main Responsibilities Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time. Education And Experience Requirements Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management. Note: you will be required to attach the following: Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

Full Time 0 to 0 years

Assistant Vice President Asset Management Middle Office

On-site - Qatar - Doha 7 July 2026

Accounting, Finance & Banking

About QNB Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region. QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines. QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications. Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine. QNB Group has an active community support program and sponsors various social, educational and sporting events. Job Summary The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements. Main Responsibilities Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time. Education And Experience Requirements Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management. Note: you will be required to attach the following: Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

Full Time 0 to 0 years

Assistant Vice President Asset Management Middle Office

On-site - Qatar - Doha 7 July 2026

Accounting, Finance & Banking

About QNB Established in 1964 as the country’s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region. QNB Group’s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines. QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard & Poor’s (A), Moody’s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications. Based on the Group’s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine. QNB Group has an active community support program and sponsors various social, educational and sporting events. Job Summary The Assistant Vice President, Asset Management Middle Office / Performance & Risk Analyst is responsible for calculating, analyzing, and reporting portfolio performance and risk metrics across QNB Asset Management’s investment products. The role includes preparing customized client performance reports, supporting benchmark comparisons, conducting attribution and transaction cost analysis, and maintaining consistency with performance standards such as GIPS. This role collaborates closely with investment teams, product specialists, and compliance to ensure that reporting is accurate, insightful, and aligned with internal and regulatory requirements. Main Responsibilities Shareholder & Financial: Calculate portfolio performance and risk across asset classes and benchmark against strategic targets Conduct performance & risk attribution analysis, identifying contributions from asset allocation, security selection, currency, and style factors Build customized reports based on client requirements Generate and interpret risk-adjusted return metrics (e.g., Sharpe ratio, alpha, beta, tracking error, volatility) Analyze fund expenses, transaction costs, and fees to support transparency and cost benchmarking Collaborate with investment managers to optimize fund structures based on historical performance trends Maintain and improve performance measurement tools, templates, and data pipelines Prepare composite performance summaries in compliance with GIPS reporting standards Contribute to automation and quality control for recurring client and internal reports Implements KPI’s and best practices for Assistant Vice President, Asset Management Middle Office Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. Act within the limits of the powers delegated to the incumbent. Customer (Internal & External): Maintain up-to-date knowledge of performance attribution models, risk metrics, and fund structures Continuously develop reporting skills using advanced Excel, SQL, VBA, and BI tools Participate in internal workshops and cross-functional sessions with Product, Investment, and Business Control teams Support the team in adopting automation tools and improving dashboard visualizations To assist customers in all their queries on Bank’s product and seek solution to their requests. Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. Internal (Processes, Products, Regulatory): Collaborate with Investment Management and Product to ensure accurate, relevant reporting Work closely with Trade Support & Data, and Business Control to ensure data inputs meet regulatory and internal guidelines Proactively flag data discrepancies, outliers, or reporting exceptions Learning & Knowledge: Proactively identify areas for professional development of self and undertake development activities. Seek out opportunities to remain current with all developments in professional field. Legal, Regulatory, and Risk Framework Responsibilities: Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML & CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy). Understand and effectively perform your role under the Three Lines of Defense principle to identify measure, monitor, manage and report risks. Ensure systematic good outcomes for clients in accordance with Conduct Risk policy. Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements. Maintain appropriate knowledge to ensure full qualification to undertake the role. Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence. Attend mandatory (internal and external) seminars as instructed by the Bank. Other: Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information. Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators. Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position. All other ad hoc duties/activities related to QNB that management might request from time to time. Education And Experience Requirements Bachelor’s degree in Finance, Mathematics, Economics, or related quantitative field CFA Level I or CIPM (Certificate in Investment Performance Measurement) preferred Minimum of 10 years of experience in performance analysis, risk attribution, or investment operations in asset management or financial services Proficiency in performance measurement tools, GIPS reporting frameworks, and attribution methodologies Hands-on experience with Excel, Python, SQL, or BI tools (e.g., Power BI, Tableau) Deep understanding of performance attribution, benchmark alignment, and client reporting Knowledge of risk-adjusted return metrics and investment mandates Ability to translate complex data into clear client-facing insights Excellent oral and written communication skills (including report writing) in English and Arabic. Good interpersonal and presentation skills. Understanding of the relevant laws, regulations, and practices. Ability to make decisions and follow through with initiatives. Personal integrity and self-management. Planning, organizing, and analytical ability. Results oriented. Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management. Note: you will be required to attach the following: Resume/CVCopy of Passport or QID Copy of Education Certificate Copy of Birth Certificate

Full Time 0 to 0 years

Applied AI Engineer

On-site - Qatar - Doha 21 July 2026

Information Technology

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you. You will: Partner with public sector clients to deeply understand their challenges and define AI-driven solutions Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models Participate in customer engagements, including occasional travel (approximately two weeks per quarter) Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing Ideally you’d have: A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, Type Script/Java Script, Java, or C++.2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure) Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment Nice to haves: Experience working at a startup, particularly as founding engineer Experience building and deploying large-scale AI solutions Strong written and verbal communication skills to operate in a cross-functional team environment Proficiency in Arabic (if focused on language models) For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

0 to 0 years Naukri Gulf

Cybersecurity SME Operational Digital Twin

On-site - Qatar - Doha 20 May 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Parsons is seeking a Cybersecurity SME to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East. This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance. The role will be working closely with the Product Manager and a team of international experts, architects, and engineers. The scope spans discovery and stakeholder engagement, security and risk assessment, architecture and control design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The Cybersecurity SME will help define and validate security requirements and architecture, support secure integration and operations, contribute to risk management and compliance activities, and assist in ensuring that the Operational Digital Twin is designed and operated in line with recognized cybersecurity standards and best practice. What You ll Be Doing <ul> <li>Support the Product Manager and Data & Architecture team in defining security objectives, scope, and requirements for the Operational Digital Twin across all layers (infrastructure, platforms, applications, data, and integrations).</li> <li>Assist in performing security and risk assessments for proposed solution architectures, integrations, and deployments, and in documenting threats, vulnerabilities, and recommended mitigations.</li> <li>Help review and contribute to the design of security controls and configurations (including identity and access management, network segmentation, encryption, logging and monitoring, and incident response approaches) in collaboration with infrastructure and platform teams.</li> <li>Support secure-by-design and privacy-by-design practices by reviewing solution designs, APIs, and data flows, and by providing input to security requirements, standards, and guidelines for the project.</li> <li>Assist in coordinating cybersecurity-related activities with client security teams, including alignment with national and organisational security frameworks, policies, and regulatory requirements.</li> <li>Support security testing and validation activities (such as vulnerability assessments and penetration testing), track findings, and follow up on remediation actions with relevant technical teams.</li> <li>Assist in preparing security documentation, operational guidelines, and awareness materials, and in delivering briefings or workshops to project and client stakeholders as required.</li> </ul> What Required Skills You ll Bring <ul> <li>Degree in computer science, information security, engineering, or related technical discipline from an accredited institution.</li> <li>Experience supporting cybersecurity or information security activities for large-scale digital, platform, or enterprise solutions in infrastructure, utilities, or urban environments.</li> <li>Working knowledge of core cybersecurity concepts and practices in Qatar, including risk assessment, security architecture, identity and access management, network and application security, and security monitoring.</li> <li>Basic understanding of relevant security standards and frameworks (such as ISO 27001, NIST, or equivalent) and how they are applied in practice.</li> <li>Exposure to cloud platforms (e.g., Azure, AWS) and to security considerations for APIs, web applications, and integrations with OT/IoT, SCADA, and GIS platforms.</li> <li>Experience working within multidisciplinary, multinational teams across multiple time zones.</li> <li>Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid).</li> <li>Exposure to testing, acceptance, or go-live activities where security controls and requirements must be validated before production deployment.</li> <li>Excellent communication and documentation skills, with the ability to clearly convey security concepts and requirements to non-technical stakeholders.</li> <li>Experience contributing to cybersecurity for Digital Twin, smart city, or data/analytics platforms, including OT/IT convergence scenarios.</li> <li>Fluency in spoken and written English.</li> <li>Prior work with national infrastructure owners, critical infrastructure operators, transport authorities, utilities, or public works organisations.</li> <li>Professional cybersecurity certifications such as CISSP, CISM, CISA, or cloud security certifications (e.g., Azure or AWS security credentials).</li> </ul> What Desired Skills You ll Bring Arabic language skills are a strong advantage</div></section><section>Desired Candidate ProfileDegree in computer science, information security, engineering, or related technical discipline from an accredited institution. Experience supporting cybersecurity or information security activities for large-scale digital, platform, or enterprise solutions in infrastructure, utilities, or urban environments. Working knowledge of core cybersecurity concepts and practices in Qatar, including risk assessment, security architecture, identity and access management, network and application security, and security monitoring. Basic understanding of relevant security standards and frameworks (such as ISO 27001, NIST, or equivalent) and how they are applied in practice. Exposure to cloud platforms (e.g., Azure, AWS) and to security considerations for APIs, web applications, and integrations with OT/IoT, SCADA, and GIS platforms. Experience working within multidisciplinary, multinational teams across multiple time zones. Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid). Exposure to testing, acceptance, or go-live activities where security controls and requirements must be validated before production deployment. Excellent communication and documentation skills, with the ability to clearly convey security concepts and requirements to non-technical stakeholders. Experience contributing to cybersecurity for Digital Twin, smart city, or data/analytics platforms, including OT/IT convergence scenarios. Fluency in spoken and written English. Prior work with national infrastructure owners, critical infrastructure operators, transport authorities, utilities, or public works organisations. Professional cybersecurity certifications such as CISSP, CISM, CISA, or cloud security certifications (e.g., Azure or AWS security credentials).</section>

Full Time 0 to 0 years

Senior Full-Stack Software Engineer

On-site - Qatar - Doha 51 minutes ago

Information Technology

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMsUpskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. Contribute to core platform features designed to be reused across diverse international client use cases. Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: Bachelor’s degree in Computer Science or a related quantitative field 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), Type Script, Next.js, Python, Node.js, Postgre SQL or Mongo DB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. Driven async communication methodologies to reduce communication frictions Nice to haves: Proficient in Arabic Past experience working in a forward deployed engineer / dedicated customer engineer role Experience working cross functionally with operations Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years

Middleware Engineer

On-site - Qatar - Doha 28 July 2026

Information Technology

Job Summary We are seeking an experienced Senior ESB Developer with strong expertise in IBM App Connect Enterprise (ACE), IBM Integration Bus (IIB), IBM MQ, API integration, and enterprise middleware solutions. The ideal candidate will be responsible for designing, developing, deploying, and supporting enterprise integration solutions that enable seamless communication between business applications, databases, APIs, and external systems. The role requires extensive hands-on experience in IBM ACE, IBM MQ, REST/SOAP services, ESQL, message transformation, enterprise integration patterns, CI/CD, and API management while ensuring high availability, scalability, security, and performance of enterprise integration platforms. Key Responsibilities Enterprise Integration Development Design, develop, and maintain enterprise integration solutions using IBM App Connect Enterprise (ACE). Build scalable and reusable integration services. Develop message flows and integration components. Implement enterprise integration patterns. Develop secure, high-performance middleware solutions. API & Middleware Development Design and develop RESTful APIs. Develop SOAP Web Services. Integrate enterprise applications using IBM MQ. Develop synchronous and asynchronous integrations. Support API lifecycle management. Implement secure API integrations. System Analysis & Solution Design Analyze business and technical requirements. Translate business requirements into integration solutions. Design enterprise integration architecture. Develop reusable middleware components. Ensure alignment with enterprise architecture standards. Message Transformation Develop and support data transformation using:XMLJSONDFDLCSVMRMXMLNSCISO8583Perform:Message Mapping Schema Validation Data Transformation Data Routing IBM MQ Administration & Messaging Develop IBM MQ-based integrations. Configure reliable messaging. Implement asynchronous communication. Support message queues. Troubleshoot MQ-related issues. Optimize messaging performance. Testing & Quality Assurance Develop Unit Tests. Perform Integration Testing. Support System Integration Testing (SIT). Debug middleware issues. Validate API functionality. Ensure code quality and compliance. Use tools including:SOAPUIPostman CI/CD & Dev Ops Manage source code using Git. Support Jenkins CI/CD pipelines. Automate deployments. Support Dev Ops practices. Manage environment deployments across Development, QA, UAT, and Production. Production Support Monitor integration services. Investigate production incidents. Perform Root Cause Analysis (RCA). Resolve integration failures. Optimize middleware performance. Ensure high system availability. Documentation Prepare and maintain:Technical Design Documents Integration Specifications API Documentation Deployment Guides Operational Procedures Interface Documents System Architecture Documentation Collaboration Work closely with:Business Analysts Solution Architects Application Developers QA Engineers Infrastructure Teams Operations Teams Business Users Participate in Agile delivery. Support SDLC activities. Mentor junior developers and enforce development standards. Education Bachelor's Degree in:Computer Science Information Technology Computer Engineering Electronics & Communication Engineering Software Engineering Related Engineering Discipline Required Experience Minimum 8–10+ years of experience in enterprise integration development. Strong hands-on experience with IBM App Connect Enterprise (ACE). Experience with IBM Integration Bus (IIB) / Web Sphere Message Broker. Experience with IBM MQ. Experience in enterprise integration and middleware platforms. Experience working in Banking, Financial Services, Insurance, Logistics, or Enterprise environments is preferred. Mandatory Technical Skills Enterprise Integration IBM App Connect Enterprise (ACE) IBM Integration Bus (IIB) IBM Web Sphere Message Broker Enterprise Service Bus (ESB) Enterprise Integration Middleware Development Integration Architecture Message Flows IBM Technologies IBM ACEIBM MQIBM API Connect IBM Integration Solutions API Development REST APIsSOAP Web Services Microservices API Integration API Security API Design Messaging IBM MQMessage Queuing Asynchronous Messaging Publish/Subscribe Message Routing Programming ESQLShell Scripting Data Formats XMLJSONDFDLCSVMRMXMLNSCISO8583XML Schema Data Mapping Message Transformation Databases Oracle Database Microsoft SQL Server MySQLSQLDev Ops Git Jenkins CI/CD Pipelines Dev Ops Deployment Automation Testing Unit Testing Integration Testing SOAPUIPostman Debugging Performance Testing Operating Systems Linux AIXUNIXSDLCAgile Scrum SDLCCode Reviews Technical Documentation Production Support Root Cause Analysis (RCA) Preferred Skills IBM API Connect Microservices Architecture Container Platforms (Docker/Kubernetes) Open Shift Cloud Integration Banking Domain Insurance Domain Financial Services Enterprise Integration Patterns (EIP)

Full Time 0 to 0 years

Senior/Staff Machine Learning Engineer - Bidding

Hybrid - Qatar - Doha 22 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team (ML role)? Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale. What You’ll need to Succeed: Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role. It’s great if you have: Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux Benefits Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Senior/Staff Machine Learning Engineer - Bidding

Hybrid - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team (ML role)? Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale. What You’ll need to Succeed: Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role. It’s great if you have: Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux Benefits Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years

Senior/Staff Machine Learning Engineer - Bidding

Hybrid - Qatar - Doha 1 July 2026

Information Technology

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team (ML role)? Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale. What You’ll need to Succeed: Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role. It’s great if you have: Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux Benefits Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance #telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover More About Working At Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Full Time 0 to 0 years Naukri Gulf

Techno Functional Consultant- Finastra Loan IQ

On-site - Qatar - Doha 8 May 2026

Information Technology

<section>Job DescriptionRoles & Responsibilities<div class="paragraph">Nair Systems is currently looking Business Analyst - Techno Functional Finastra - Loan IQ Systems for our Qatar operations.<ul><li>Minimum 5 years’ experience in Loan IQ application implementations and interface development</li><li>Good knowledge on SDK development such as inquiry script, event management, scripted API, scripted Batch…etc..</li><li>Good knowledge on Loan IQ Data dictionary (7.7.X version)</li><li>Good understanding on Loan IQ framework</li><li>Good knowledge on Loan IQ functionalities</li><li>Capable to debug the interface issue and functional issues</li><li>Good knowledge of RFR functionality</li><li>Good Knowledge of the Loan IQ framework, data model, SDK Scripted batch, Event triggers, controller event and Inquiry API.</li></ul></div></section><section>Desired Candidate Profile<ul><li>Bachelor’s degree in Finance/ Computer Science, MIS, Engineering, Business Administration or a related technical field.</li><li>Minimum 4 years’ experience in the Banking Industry System support and implementations with at least 3 years in IT.</li><li>Reviewing and preparing Business Requirement Specification and prepare the test cases exploring all aspects of the scope.</li><li>Defect life cycle Management and execution status reporting</li><li>Experience in test scope analysis and regression testing</li></ul></section>

Full Time 0 to 0 years

Information Technology Support Engineer

On-site - Qatar - Doha Monday

Accounting, Finance & Banking

Job Brief The IT Technical Support Engineer is responsible for installing, maintaining, troubleshooting, and supporting the company’s IT infrastructure, systems, and end-user devices. The role ensures the availability, security, and reliability of IT services by providing technical support, maintaining hardware and software, resolving network and system issues, and assisting with data center operations. Key Responsibilities * Install, configure, and maintain user workstations, laptops, printers, and peripheral devices. * Install, configure, and troubleshoot operating systems, software applications, and hardware components. * Provide first and second-level technical support to employees and resolve IT-related incidents in a timely manner. * Monitor and maintain the integrity, availability, and security of IT systems across the organization. * Monitor server performance, network connectivity, and system health. * Assist in the administration and monitoring of Active Directory, user accounts, and access permissions. * Perform routine system maintenance, updates, and preventive maintenance activities. * Assist in managing and monitoring backup systems and ensure successful backup operations. * Monitor and maintain voice recording systems and support call retrieval when required. * Support the administration of ticker systems, market data displays, and information display walls. * Assist with monitoring data center infrastructure, including UPS systems, air conditioning, environmental monitoring, and safety equipment. * Monitor and support CCTV and access control systems. * Maintain accurate records of IT assets, software licenses, warranties, inventory, and maintenance contracts. * Coordinate with vendors for IT procurement, maintenance, warranty claims, and technical support. * Evaluate hardware and software solutions for future procurement. * Maintain technical documentation and ensure IT assets are properly tracked. * Participate in developing and improving IT policies, procedures, and operational standards. * Work closely with other IT team members to support business operations. * Comply with all company policies, procedures, and information security standards. * Perform any other duties assigned by management. Qualifications & Requirements * Bachelor’s degree in Computer Engineering, Network Engineering, Computer Science, Information Technology, or a related field. * Minimum of 5 years of experience in IT Technical Support or System Administration. * Strong experience supporting Microsoft Windows operating systems and Apple mac OS. * Good knowledge of TCP/IP networking, switches, and basic network troubleshooting. * Experience administering Microsoft Active Directory, Group Policy, DNS, and DHCP. * Strong experience installing, configuring, and troubleshooting Windows desktop and server environments. * Experience with Microsoft 365 and Microsoft Office applications. * Experience with IT asset management, inventory control, and software licensing. * Experience with hardware installation, maintenance, and troubleshooting. * Experience working with network and system monitoring tools. * Experience supporting CCTV and access control systems. * Familiarity with data center operations and environmental monitoring. * Experience coordinating with external vendors for procurement and technical support. * Good documentation, communication, and problem-solving skills. * Ability to work independently and manage multiple priorities. Preferred Certifications * Microsoft Certified Solutions Associate (MCSA) (or its current Microsoft equivalent) * Microsoft Certified Solutions Expert (MCSE) (or its current Microsoft equivalent) * Cisco Certified Network Associate (CCNA) * Comp TIA A+ (preferred) * ITIL Foundation (preferred)

Full Time 0 to 0 years

Information Technology Support Engineer

On-site - Qatar - Doha Monday

Accounting, Finance & Banking

Job Brief The IT Technical Support Engineer is responsible for installing, maintaining, troubleshooting, and supporting the company’s IT infrastructure, systems, and end-user devices. The role ensures the availability, security, and reliability of IT services by providing technical support, maintaining hardware and software, resolving network and system issues, and assisting with data center operations. Key Responsibilities * Install, configure, and maintain user workstations, laptops, printers, and peripheral devices. * Install, configure, and troubleshoot operating systems, software applications, and hardware components. * Provide first and second-level technical support to employees and resolve IT-related incidents in a timely manner. * Monitor and maintain the integrity, availability, and security of IT systems across the organization. * Monitor server performance, network connectivity, and system health. * Assist in the administration and monitoring of Active Directory, user accounts, and access permissions. * Perform routine system maintenance, updates, and preventive maintenance activities. * Assist in managing and monitoring backup systems and ensure successful backup operations. * Monitor and maintain voice recording systems and support call retrieval when required. * Support the administration of ticker systems, market data displays, and information display walls. * Assist with monitoring data center infrastructure, including UPS systems, air conditioning, environmental monitoring, and safety equipment. * Monitor and support CCTV and access control systems. * Maintain accurate records of IT assets, software licenses, warranties, inventory, and maintenance contracts. * Coordinate with vendors for IT procurement, maintenance, warranty claims, and technical support. * Evaluate hardware and software solutions for future procurement. * Maintain technical documentation and ensure IT assets are properly tracked. * Participate in developing and improving IT policies, procedures, and operational standards. * Work closely with other IT team members to support business operations. * Comply with all company policies, procedures, and information security standards. * Perform any other duties assigned by management. Qualifications & Requirements * Bachelor’s degree in Computer Engineering, Network Engineering, Computer Science, Information Technology, or a related field. * Minimum of 5 years of experience in IT Technical Support or System Administration. * Strong experience supporting Microsoft Windows operating systems and Apple mac OS. * Good knowledge of TCP/IP networking, switches, and basic network troubleshooting. * Experience administering Microsoft Active Directory, Group Policy, DNS, and DHCP. * Strong experience installing, configuring, and troubleshooting Windows desktop and server environments. * Experience with Microsoft 365 and Microsoft Office applications. * Experience with IT asset management, inventory control, and software licensing. * Experience with hardware installation, maintenance, and troubleshooting. * Experience working with network and system monitoring tools. * Experience supporting CCTV and access control systems. * Familiarity with data center operations and environmental monitoring. * Experience coordinating with external vendors for procurement and technical support. * Good documentation, communication, and problem-solving skills. * Ability to work independently and manage multiple priorities. Preferred Certifications * Microsoft Certified Solutions Associate (MCSA) (or its current Microsoft equivalent) * Microsoft Certified Solutions Expert (MCSE) (or its current Microsoft equivalent) * Cisco Certified Network Associate (CCNA) * Comp TIA A+ (preferred) * ITIL Foundation (preferred)

Full Time 0 to 0 years

Principal AI Ops Architect

On-site - Qatar - Doha 29 July 2026

Information Technology

Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years

Principal AI Ops Architect

On-site - Qatar - Doha 21 July 2026

Information Technology

Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years

Lead AI Applications Ops

On-site - Qatar - Doha 20 July 2026

Information Technology

Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years

Lead AI Applications Ops

On-site - Qatar - Doha 20 July 2026

Information Technology

Role Overview Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. For those applying based in Qatar: Residency and employment in Qatar requires certain permissions (visa and permits) issued by the Qatari authorities. As part of the application process, candidates will be asked to provide personal information, including residency status and nationality, which is required for visa processing. This information is collected solely for immigration compliance purposes and will be not used as a criterion in any hiring decision unless such use is lawfully permitted. Visa issuance is at the discretion of the Qatari authorities. If you are successful in your application, you will be required to provide the documentation requested by Scale and the authorities to obtain the necessary permissions for you to live and work in Qatar, and Scale will work with successful candidates to support the visa application process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years LinkedIn

Machine Learning Engineer

On-site - Qatar - Doha 29 June 2026

Information Technology

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique challenges of sovereign AI. Your role is to move beyond off-the-shelf implementations. You will lead the research into Agent Design, Reliability, and AI Safety, developing novel system architectures that power high-stakes government applications. You will be the bridge between a research paper and a production-ready system that functions at scale. The Mission Applied Agent Research: Leading the design of reliable, multi-step agentic systems and long-horizon reasoning frameworks that can solve complex problems for national security and public policy. Systemic Evaluation & Red-Teaming: Developing rigorous benchmarks and evaluation protocols to ensure AI systems are safe, unbiased, and performant in high-stakes, non-commercial environments. Model Optimisation & Selection: Conducting deep-dive research into model performance (both open-weight and closed) to identify the best tools for niche domains, optimising them through context engineering, RAG, and other inference-time techniques. What You Will Do Architect Agentic Systems: Design and build agent architectures, the harnesses, tool-use protocols, and logic flows that allow LLMs to function as reliable, autonomous agents in complex workflows. Drive Reliability & Safety: Research and implement robust evaluation frameworks. This includes red-teaming for sovereign AI requirements and developing strategies to mitigate hallucinations in regulated data environments. Synthesise Deep Research: Build agents capable of autonomous information synthesis and long-horizon reasoning, enabling users to analyse massive datasets and extract actionable insights. Optimize for Niche Domains: Evaluate and adapt models for specialised use cases, such as LLM reasoning for low-resource languages, complex OCR tasks, or working in GPU-constrained environments Build Evaluation Frontiers: Create new, automated benchmarks that define what success looks like for AI in the public sector, ensuring our systems meet the highest standards of accuracy and sovereignty. Consult as a Technical Authority: Act as a subject matter expert for public sector leaders, advising on the practical limits, safety requirements, and performance trade-offs of emerging AI technologies. Ideally, You Have Engineering Rigour: Exceptional proficiency in Python and experience building agentic harnesses or AI infrastructure. You write production-ready code that is modular, scalable, and reliable. Applied Research Mindset: A track record of taking theoretical AI concepts and turning them into functional prototypes or products. You know how to read a paper and determine if its methods are actually viable for a production system. Evaluation Expertise: Experience in LLM benchmarking, red-teaming, or building evaluations that go beyond standard academic datasets. Advanced Degree: A Master’s or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence. Nice to Haves Agentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought optimisation and tool-calling reliability. Sovereign AI Experience: Experience working with highly regulated data environments, on-premise deployments, or sensitive government use cases. Inference Optimisation: Knowledge of how to optimise model performance for environments with limited GPU capacity or specific latency requirements. Zero-to-One Mindset: You are comfortable navigating ambiguity and enjoy defining research directions from scratch to solve a specific product or mission need. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U. S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Full Time 0 to 0 years

Total Rewards Specialist

On-site - Qatar - Doha 28 July 2026

Logistics, Supply Chain & Procurement

We are seeking an experienced Total Rewards Specialist to join our team at Power International Holding. This role is responsible for supporting the design, implementation, and continuous enhancement of the organization's Total Rewards strategy, ensuring competitive compensation, benefits, and recognition programs that attract, retain, and motivate top talent. If you have a strong background in compensation and benefits, job evaluation, salary benchmarking, HR analytics, and Total Rewards within a large corporate environment, we'd love to hear from you. Key Responsibilities Support the development and execution of Total Rewards strategies, policies, and programs. Conduct job evaluations using recognized methodologies and internal benchmarking. Perform market benchmarking, salary surveys, compensation analysis, and cost modeling. Develop recommendations for salary structures, incentive plans, and benefits programs based on market trends. Ensure internal pay equity and external market competitiveness. Support annual salary reviews, bonus planning, and incentive programs. Analyze compensation and benefits data to provide actionable insights and recommendations. Monitor compensation trends, labor market movements, and regulatory changes. Ensure compliance with compensation policies, governance standards, and audit requirements. Partner with HR and business leaders to provide expert guidance on compensation, benefits, job evaluation, and recognition programs. Prepare reports, dashboards, and presentations using HR analytics and statistical tools. Identify opportunities to improve Total Rewards processes, policies, and employee experience. Requirements Bachelor's Degree in Human Resources, Business Administration, Finance, or a related field. Minimum 8 years of overall professional experience. At least 5 years of relevant experience in Compensation & Benefits or Total Rewards. GCC experience is an advantage. Strong expertise in: Total Rewards Compensation & Benefits Job Evaluation Salary Benchmarking Market Analysis Pay Equity Incentive & Bonus Programs Benefits Administration HR Analytics Cost Modeling Advanced analytical and Excel skills with the ability to interpret compensation data. Experience working with HRIS systems; SAP ERP Human Resources experience is highly preferred. Strong communication, stakeholder management, and project coordination skills. Knowledge of employment legislation and compensation governance best practices. If you are passionate about building competitive and data-driven Total Rewards programs that support organizational success, we encourage you to apply.

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