Guzzle PHP Jobs in Qatar

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose Summary <br> <p><span>The incumbent will be responsible for ensuring the quality and reliability of digital banking services, including online banking platforms, mobile apps, and other digital channels and products. This individual will lead the quality assurance strategy and operations within the Retail Digital Business Department. The role involves overseeing the development and implementation of quality assurance standards, testing procedures, and quality control measures to ensure the highest level of service delivery for all digital banking products and services. This role requires a blend of strategic planning, leadership, technical expertise, and a deep understanding of digital banking operations. The ideal candidate will possess a strong background in software quality assurance, an understanding of digital banking technologies, and a proven record of accomplishment of leading QA teams to achieve excellence in the digital service delivery.</span></p><br> <br> <br><br> Essential Duties &amp; Responsibilities by Dimensions <br> <ul><li><p><strong><span>Shareholder &amp; Financial:</span></strong><span> Develop and implement a comprehensive QA strategy aligned with the bank’s digital transformation goals; collaborate with senior leadership to execute the digital strategy roadmap; establish KPIs and best practices; promote innovation, cost efficiency, and productivity; delegate authority and monitor performance; and maintain a clear understanding of financial and non-financial performance factors.</span></p><br></li><li><p><strong><span>Customer (Internal &amp; External):</span></strong><span> Lead and manage the QA team, set objectives, evaluate performance, and foster professional development; coordinate with project delivery departments; communicate quality metrics to senior management; liaise with internal and external stakeholders; work closely with product managers and developers to deliver high-quality solutions; ensure adherence to SLAs; and maintain strong relationships across departments.</span></p><br></li><li><p><strong><span>Internal (Processes, Products, Regulatory):</span></strong><span> Collaborate with IT and development teams to integrate QA processes throughout the product lifecycle; implement cutting-edge QA practices and technologies; lead quality assurance frameworks focused on quality, security, and customer experience; oversee test plans and automated testing; drive continuous improvement and innovation within the team.</span></p><br></li><li><p><strong><span>Learning &amp; Knowledge:</span></strong><span> Maintain expertise in digital transformation, QA techniques, and digital banking technologies; troubleshoot complex issues; foster staff development and performance; and encourage innovative thinking and adoption of industry-leading practices.</span></p><br></li><li><p><strong><span>Legal, Regulatory, and Risk Framework Responsibilities:</span></strong><span> Ensure compliance with regulatory standards and internal policies including AML, data protection, fraud control, and conduct risk; perform risk management in accordance with the Three Lines of Defence principle; complete mandatory training; and attend required seminars.</span></p><br></li><li><p><strong><span>Other:</span></strong><span> Uphold data protection and confidentiality standards; maintain high professional ethics to strengthen the bank’s reputation; and perform other duties as assigned by management.</span></p><br></li></ul> <br> <br><br> Education and Experience Requirements <br> <ul><li><p><span>Bachelor’s degree from a recognized university, preferably in Marketing, Banking, Finance, Accounting, Economics, Business Administration, or Information Technology.</span></p><br></li><li><p><span>Minimum of 12 years of relevant experience, ideally within a highly rated international bank.</span></p><br></li></ul> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Purpose Summary: <br> <p>The incumbent will be responsible for current processes input/output controls, and data requirements. He will also define business needs and translate them into business analysis and requirements specifications. Also will be responsible for the enterprise data warehouse and business intelligence technology. This individual will partner with the business to manage/maintain the data and database processes and environment used to meet the organization’s on-going information needs. This includes design and maintenance of the enterprise information strategy, data models and databases used to support the organization’s application and reporting systems. The Senior Manager, MIS Business Analysis will judiciously balance the resource demands between project work, database/model maintenance, and enterprise architecture initiatives.</p><br> <br> <br><br> Essential Duties &amp; Responsibilities by Dimensions: <br> <p>A. Shareholder &amp; Financial:</p><br><p>- Provide comprehensive and cost effective solutions to user requirements.</p><br><p>- Monitor and measure the quality of the unit’s performance accordingly. </p><br><p>- Implements KPI’s and best practices for MIS Business Analysis </p><br><p>- Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise </p><br><p>benefits for the bank.</p><br><p>- Act within the limits of the powers delegated to the incumbent.</p><br><p>B. Customer (Internal &amp; External):</p><br><p>- Meet with users from other departments to understand and document their requirements prior to providing suitable </p><br><p>solutions.</p><br><p>- To assist customers in all their queries on Bank’s product and seek solution to their requests.</p><br><p>- Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve </p><br><p>improvements in turn-around time.</p><br><p>- Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives.</p><br><p>- Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.</p><br><p>C. Internal (Processes, Products, Regulatory):</p><br><p>- Monitor the implementation of development lifecycle strategies, policies, standards and guidelines for design, </p><br><p>selection, development and ongoing maintenance of systems.</p><br><p>- Monitor and recommend solutions to cater for the user business requirements and provide the most adequate </p><br><p>systems to resolve these requirements.</p><br><p>- Recommend live operations of the systems or retirement of the system with the Group’s IT architecture based on </p><br><p>business objective and strategy. </p><br><p>- Implement tasks according to the prioritization based on the overall business plans and other factors of limitation </p><br><p>and urgencies.</p><br><p>- Lead the preparation and maintenance of documentation and standards for the different activities and systems </p><br><p>user guides as per the overall documentation policy.</p><br><p>- Ensure compliance and adherence to existing standards and policies by all the Application Development staff and </p><br><p>follow the most recent control objectives and best practices. </p><br><p>D. Learning &amp; Knowledge:</p><br><p>- Understand user requirements and existing structure in order to provide the proper solutions by enhancing the </p><br><p>existing systems or providing new systems.</p><br><p>- Possess knowledge of system architecture and limitations in deciding on methods of problem solving which may </p><br><p>impact overall resource availability and time to deliver changes. </p><br><p>- Initiate regular Application Development departmental meetings which aim to add value by discussing progress, </p><br><p>problems, and any other issues of concern.</p><br><p>- Proactively identify areas for professional development of self and undertake development activities.</p><br><p>- Seek out opportunities to remain current with all developments in professional field.</p><br> <br> <br><br> Education/Experience Requirements: <br> <p><span>- Bachelor Degree in Computer Science, Computer Engineering or and related field.</span></p><br><p><span>- At least 6 years experience in financial services with a specialization in web or mobile application development</span></p><br> <br> <br> </div>

Role Purpose<br><br>The Data Infrastructure & Operations Consultant designs, configures and supports the infrastructure and operational services required for client data-management, integration, analytics and security capabilities. The role ensures that environments, connectivity, capacity, access, monitoring, backup, recovery and support arrangements are documented and aligned with approved architecture and service requirements.<br><br>The consultant works with client infrastructure teams, system owners, platform administrators, architects, engineers and security specialists. It may provision or support environments under controlled access, but client technology teams retain production ownership and operational authority. The role must combine technical delivery with disciplined operational documentation, evidence and knowledge transfer so services can be maintained reliably after implementation.<br><br>Key Responsibilities<br><br>Assess infrastructure, hosting, network, connectivity, capacity, environment and service requirements for client data solutions. Design or support approved on-premises, cloud or hybrid infrastructure configurations. Provision and configure authorised development, test and production-support environments through client change controls. Implement connectivity, certificates, service accounts, access, secrets and infrastructure security requirements. Support installation and operation of data platforms, integration services, databases and analytical components. Establish monitoring, alerting, capacity, availability, performance and service-level evidence. Design and test backup, restoration, disaster-recovery and continuity procedures for relevant services. Maintain configuration records, infrastructure diagrams, asset information, patch status and change history. Support incident, problem and root-cause investigation and coordinate corrective action with client teams and vendors. Validate operational readiness, support ownership, escalation routes and acceptance evidence before go-live. Develop runbooks, maintenance procedures, support models and operational handover packs. Train client infrastructure and operations personnel and provide controlled transition support.<br><br>Minimum Requirements<br><br>Education<br><br>Bachelor's degree or diploma in information technology, computer science or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.<br><br>Professional Experience<br><br>Typically 3-8 years in infrastructure, systems administration, cloud or enterprise application support. Experience in infrastructure, systems administration, cloud services, database platforms or enterprise application support. Experience with networking, identity, monitoring, backup, recovery, patching and configuration management. Experience supporting data or analytics platforms and working within production change controls. Experience producing operational documentation and transferring services to support teams.<br><br>Technical and Domain Knowledge<br><br>On-premises, cloud and hybrid infrastructure concepts. Systems administration, networking and connectivity. Identity, service accounts, certificates and access controls. Monitoring, alerting, capacity, availability and performance. Backup, restoration, disaster recovery and continuity. Patching, configuration, release and change management. Incident, problem and operational support processes. Infrastructure documentation, runbooks and service handover.<br><br>Core Competencies<br><br>Infrastructure operations. Systems administration. Networking. Monitoring. Backup/recovery. Change and incident management. Operational reliability. Troubleshooting. Service management. Documentation discipline. Eliciting operational requirements and identifying hidden dependencies. Explaining infrastructure options and service implications clearly. Working within controlled access, security and change processes. Coordinating infrastructure, platform, vendor and delivery teams. Producing complete configuration and operational evidence. Facilitating readiness reviews and structured handover. Supporting client operations without assuming production ownership.<br><br>Preferred Certifications<br><br>Relevant cloud or infrastructure certification IT service-management certification<br><br>Focus areas<br><br>Infrastructure operations Systems administration Networking<br><br>Ready to apply for this role?<br><br>Apply for Data Infrastructure & Operations Consultant

Job Description<br><br>JOB TITLE: Lead, Data Governance<br><br>Accountabilities<br><br>Purpose of the Role<br><br>Lead of the central team responsible for driving all company entities to have accurate, consistent, available, and high quality data across around 120 data domains, 870 data families Drives the implementation of data governance for the digital use cases and digital data platform operations to ensure the integrity of data used and presented in the use cases and support decision making Implement data governance strategy for the organization. Leads the planning, evaluating, and selecting the right data governance capabilities for the enterprise. Advisor to the leadership team on enterprise wide data governance solutions and challenges.<br><br>Key Accountabilities<br><br>Drives the implementation of the enterprise data governance framework, strategy, and roadmap Drives the implementation of data governance practices in AI, advanced analytics, digital use cases and data platform operations Implementation and maintenance of solutions to manage data governance Company data literacy and organization upskilling Definition of polices, standards and guidelines for data governance and monitor adoption Budget management for operational costs and data investments<br><br>JOB DIMENSIONS<br><br>Managing an annual budget of approx. USD $2MManaging 2 direct reports5 service contracts Lead of a central team driving the improvement of data governance for 16 department Involves close working relations with the digital team, department focal points and leadership, data owners, and data stewards as well as contractors<br><br>ACTIVITIES<br><br>Manage enterprise data governance framework, strategy, and maturity<br><br>Lead data governance to promote data access, quality, and analytical capability. Governance can include a user training program, a data roles model, and data standards. Strives to reduce the cost of managing data and increase the value of the data. Lead the improvement of data literacy across company to upskill the organization on the value and use of data Measure enterprise data governance maturity and set yearly plans to improvement goals Represents the DM team and enterprise data stewards at leadership meetings. Develops and gives oral presentations on the power and value of data. Leads and/or serve steering committees and helps leadership use its data effectively at these meetings. (i.e. Data Community, Data Council...etc.) Apply expert knowledge and standards to analyze enterprise results and reports. Recommends and pursues collaboration and provides appropriate technical guidance to ensure the success of such collaborations. Interacts with business areas and IT on DM solutions.<br><br>Embed the data governance practices in AI, advanced analytics, digital use cases and data platform operations<br><br>Participate in scoping AI, Advanced Analytics, digital use cases and vendor proposals evaluations Ensure data quality rules are defined and developed, Data lineage for technical metadata are captured, business glossary is captured and approved by data stewards according to every digital use case data needs Establish and advance the enterprise AI Governance framework by defining AI agent operating boundaries, implementing governance controls and data quality assurance mechanisms, and delivering a strategic AI Governance roadmap that strengthens governance maturity, mitigates risk, and enables the responsible scaling of AI initiatives across the organization. Ensure the onboard of the digital use case owners and data stewards on the data governance tools to monitor their data usage, quality, and assignment Enable digital use cases master data management scope by defining the data quality checks Responsible for ensuring the data certification standard is followed, through the validation of data at source and destination are align for any data load or migration activity for digital use cases or application changes<br><br>Implement and maintain solutions to manage data governance<br><br>Lead the identification and configuration of data hierarchy, roles, catalog, quality, and business glossary for enterprise company data on Data Governance tools leveraging Oil and Gas standard practices Lead the prioritization, development and maintaining controls on data quality and sources to effectively manage risk associated with the use of data and analytics, as well as work with every entity to improve the finding and report issues to senior management per department Responsible for capturing business data challenges and propose solutions to overcome it Report the progress and challenges to senior management through Data Council and DPG Steer Co.<br><br>Defines polices, standards and guidelines for data governance<br><br>Lead the develop of data management policies, procedures, and guidelines relevant to the data management company needs Lead the development and implementation of enterprise metadata standards, guidelines, and processes to ensure quality metadata and support for ongoing data governance Ensure and monitor the adherence to all data policies, procedures, and guidelines Govern and overlooks the data sources to ensure its alignment with policies and best practices of handling stored data Aligns with the data operations to ensure it fulfils the data governance requirements Upskills developees on data governance and management<br><br>Must Have Qualifications & Experience Required<br><br>Bachelor’s degree from an accredited university in Information Management or an engineering/business related equivalent.10+ years of experience in Data Management for Oil and Gas Upstream/Downstream Operations and Major Capital Projects.5+ years of experience in a management/lead position working through the definition and implementations of similar engineering information projects. Strong handson experience in building data governance strategy, framework, roadmaps, decision making bodies and on boarding data roles (data owners/stewards) Solid track record implementing scalable data governance technology stacks (including business glossary, data lineage, data quality) Good understanding of the data solutions used for different Data Management needs such as Data visualization and BI, data science, data warehouses/lakes, Master data Management, data modeling Enterprise Document Management solutions...etc Experience in Change Management, Program management and Stakeholder management Experience in data integration methods Good understanding of Upstream and Downstream DIM requirements Good Knowledge of Database systems, EDMS solutions and BI Technologies Good Knowledge of Applications Architecture, Information Security Principles Fluent English both spoken and written

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We empower our people to stay resilient and relevant in a constantly evolving world. We re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you d make an outstanding addition to our vibrant international team. Siemens Digital Industries is a leading innovator in automation and digitalization. Our mission is to support customers in maximizing growth, profit opportunities and ecological footprint in the discrete and process industries. Ready to create your own journey? Join our Digital Industry as the Sales Specialist and help us transform the everyday by finding solutions and making the world a more inquisitive place for tomorrow.</p><p>You ll make an impact by:</p><ul><li>Driving industrial software sales in Qatar by identifying and developing new business opportunities across key customers and industries</li><li>Supporting the sales team in shaping, pitching, and closing software-driven solutions that address customer operational challenges</li><li>Acting as a trusted advisor to customers by translating business needs into digital and software solutions. This includes engaging with customers at technical, operational, and management levels to deeply understand their business challenges and translate them into actionable digital opportunities.</li><li>Leading customer engagement to identify opportunities in areas such as manufacturing operations, analytics, and digitalization.</li><li>You will focus on value-based sales engagements, targeting improvements in productivity, quality, energy efficiency, sustainability, and overall operational excellence.</li><li>Building and managing a strong pipeline, ensuring accurate forecasting and timely deal closure</li><li>Collaborating with internal teams to deliver integrated solutions combining automation, software, and services</li><li>Contributing to account growth by increasing software adoption and expanding existing customer relationships. This involves supporting account strategies focused on incremental value creation and growth, identifying and executing targeted entry points (like pilots or assessments), and expanding towards broader transformation programs.</li></ul><p>Your success is grounded in</p><ul><li>Proven experience selling industrial software solutions, ideally across areas such as SCADA/HMI (e.g., WinCC), Manufacturing Operations Management / shopfloor systems, and asset analytics</li><li>Strong capability in consultative, value-based selling of digital and software-driven transformation solutions</li><li>Solid understanding of industrial software environments, including engineering, operations, simulation, and performance optimization tools</li><li>Exposure to solutions such as engineering &amp; lifecycle management (e.g., COMOS), advanced process modeling (e.g., gPROMS), simulation and virtual commissioning (e.g., SIMIT), and predictive maintenance (e.g., Senseye)</li><li>Track record of driving software business growth, from pipeline creation to closing complex, multi-stakeholder opportunities.</li></ul><p>You will be skilled in assisting with the development of robust business cases, calculating ROI, and defining measurable outcomes for digital investments, ensuring our solutions translate into tangible operational improvements.</p><p>Ability to position integrated software solutions across the full operational lifecycle from design and engineering to execution and optimization</p><p>Strong collaboration skills to work across sales, technical, and global portfolio teams in a matrix organization</p><p>Technical or engineering background with good understanding of OT/IT integration and industrial digital architecture. Familiarity with IT/OT convergence, edge computing, cloud platforms, SaaS solutions, and industrial analytics is highly valued.</p><p>Exceptional business acumen to support ROI/value case development and influence customer stakeholders effectively.</p><p>A customer-centric, structured, and analytical approach to identifying and solving customer challenges.</p><p>Language Requirements:</p><ul><li>English: Fluent essential for engaging with international stakeholders, preparing proposals, and leading technical discussions.</li><li>Arabic: Preferred a strong asset for effectively engaging with regional customers and understanding the local business context.</li></ul><p>You ll benefit from 2 to 3 days of mobile work per week as a global standard. Diverse and inclusive culture. An environment where everyone can bring their whole self and feel a sense of belonging. the foundation to develop personally and professionally. Extraordinary variety of learning &amp; development opportunities</p><p>Transform the everyday with us</p><p>We value your outstanding identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. We celebrate the fact that our people are individuals and have different preferences and needs. If we all thought the same, we would never think of anything new! That s why we recruit extraordinary minds from all walks of life. We are committed to furthering our culture of diversity, equity and inclusion. We encourage applications from a diverse talent pool and are happy to give the opportunity to discuss flexibility and reasonable adjustment requirements. Many of our teams are working optimally in a remote, virtual adding to our ability to offer more flexibility on how you handle your time. Please note: Only complete applications can be considered in the selection process.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proven experience selling industrial software solutions, ideally across areas such as SCADA/HMI (e.g., WinCC), Manufacturing Operations Management / shopfloor systems, and asset analytics</li><li>Strong capability in consultative, value-based selling of digital and software-driven transformation solutions</li><li>Solid understanding of industrial software environments, including engineering, operations, simulation, and performance optimization tools</li><li>Exposure to solutions such as engineering &amp; lifecycle management (e.g., COMOS), advanced process modeling (e.g., gPROMS), simulation and virtual commissioning (e.g., SIMIT), and predictive maintenance (e.g., Senseye)</li><li>Track record of driving software business growth, from pipeline creation to closing complex, multi-stakeholder opportunities.</li><li>Skilled in assisting with the development of robust business cases, calculating ROI, and defining measurable outcomes for digital investments, ensuring our solutions translate into tangible operational improvements.</li><li>Ability to position integrated software solutions across the full operational lifecycle from design and engineering to execution and optimization</li><li>Strong collaboration skills to work across sales, technical, and global portfolio teams in a matrix organization</li><li>Technical or engineering background with good understanding of OT/IT integration and industrial digital architecture. Familiarity with IT/OT convergence, edge computing, cloud platforms, SaaS solutions, and industrial analytics is highly valued.</li><li>Exceptional business acumen to support ROI/value case development and influence customer stakeholders effectively.</li><li>A customer-centric, structured, and analytical approach to identifying and solving customer challenges.</li><li>English: Fluent essential for engaging with international stakeholders, preparing proposals, and leading technical discussions.</li><li>Arabic: Preferred a strong asset for effectively engaging with regional customers and understanding the local business context.</li></ul><p></p></section>

About QNB<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - 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): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - 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): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - 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): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - 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): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - 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): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - 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): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

About QNB<br><br>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.<br><br>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.<br><br>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.<br><br>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.<br><br>QNB Group has an active community support program and sponsors various social, educational and sporting events.<br><br>Job Summary<br><br>The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, Gen AI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.<br><br>Main Responsibilities<br><br> Shareholder & Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data & AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group’s exposure to Data & AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data & Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data & Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics & AI solutions to user requirements keeping in mind the Group’s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - 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): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank’s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group’s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - 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): Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling. Learning & Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects. Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI. Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time<br><br>Education And Experience Requirements<br><br> University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field. At least 10 years of relevant experience, preferably within a Data Scientist or related role. A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable. Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques. Sound knowledge and implementation experience on LLM based solutions. Prior experience in banking is desirable Sound knowledge in cloud technologies ,Python and full stack engineering is must.<br><br>Note: you will be required to attach the following:<br><br>Resume/CVCopy of Passport or QID Copy of Education Certificate

Job Description<br><br>Systems Engineer - Sec Ops<br><br>Location: Qatar <br><br>Our Team<br><br>The Fortinet Systems Engineering team is a group of technically skilled and commercially astute professionals, who are passionate about solving our customer’s challenges through the delivery of industry leading Cybersecurity solutions.<br><br>With us you will<br><br>Lead all technical aspects of a sales cycle with the customer, from the initial RFIs, through to RFPs & RFQs when required. This includes the project management and active participation in POCs in partnership with the relevant teams both internally and within the customer and/or commercial partner.<br><br>Have the ability to listen and to understand the technical requirements of the customer, reading between the lines to build a solution which outperforms the competitor offering.<br><br>Be the primary technical point of contact for the customer(s) and partners in close collaboration with your sales partner.<br><br>Continuously strive to improve knowledge around the Fortinet products and solutions, along with maintaining a deep understanding of the competitive landscape and Fortinet’s ability to provide long lasting protection against the ever-evolving threats.<br><br>Have a strong ability to position Fortinet solutions to the customer, whether this be remotely or in person. This requires strong communication skills and the ability to confidently present through whiteboarding, technical white papers, technical plans or customer discussions.<br><br>Manage your time effectively when working on multiple deals simultaneously, ensuring a positive customer experience is maintained.<br><br>Maintain accurate activity, contact, and account technical information of all customers and prospects in our CRM (Salesforce).<br><br>Apply if you<br><br>Have a high aptitude for security technology in network, endpoint and application areas. The CISSP accreditation would also be beneficial.<br><br>Are currently or have previously worked in a pre-sales engineer role, managing end to end technical aspects of deals, through to technical closure.<br><br>Can demonstrate your problem solving skills and how this has impacted key wins within your current organisation.<br><br>Understand and can demonstrate your ability to build and maintain customer relationships, including your ability to effectively communicate technically to a range of both external and internal stakeholders.<br><br>Have a strong understanding of NGFW, advanced routing / SD-WAN, devops / automation tools, public / private cloud, ATP, NOC/SOC, WAF, SEG, XDR, NAC, LAN/WLAN. We are looking for a candidate who is an expert in at least two of above areas.<br><br>What you can expect from us<br><br>Excellent training and development opportunities, providing you with all the tools you need to be successful.<br><br>An open working environment, sharing knowledge and information collaboratively and transparently, with respect to everyone’s thoughts and opinions.<br><br>The opportunity to be part of an innovative, collaborative and winning team.<br><br>A competitive salary and incentive compensation package, including stock awards, health and welfare benefits.<br><br>Your New Employer<br><br>From the start, the Fortinet vision has been to deliver broad, truly integrated, high-performance security across the IT infrastructure. Today, we secure the largest enterprises, service providers and government organizations around the world.<br><br>Fortinet empowers its customers with intelligent, seamless protection across the expanding attack surface and the power to take on ever-increasing performance requirements of the borderless network – today and into the future. We have proven to be a truly innovative technology driven network security company with over 619 registered Global Patents. This is over 3 times more than our closest most innovative competitor!

Job Description<br><br>Systems Engineer - Sec Ops<br><br>Location: Qatar <br><br>Our Team<br><br>The Fortinet Systems Engineering team is a group of technically skilled and commercially astute professionals, who are passionate about solving our customer’s challenges through the delivery of industry leading Cybersecurity solutions.<br><br>With us you will<br><br>Lead all technical aspects of a sales cycle with the customer, from the initial RFIs, through to RFPs & RFQs when required. This includes the project management and active participation in POCs in partnership with the relevant teams both internally and within the customer and/or commercial partner.<br><br>Have the ability to listen and to understand the technical requirements of the customer, reading between the lines to build a solution which outperforms the competitor offering.<br><br>Be the primary technical point of contact for the customer(s) and partners in close collaboration with your sales partner.<br><br>Continuously strive to improve knowledge around the Fortinet products and solutions, along with maintaining a deep understanding of the competitive landscape and Fortinet’s ability to provide long lasting protection against the ever-evolving threats.<br><br>Have a strong ability to position Fortinet solutions to the customer, whether this be remotely or in person. This requires strong communication skills and the ability to confidently present through whiteboarding, technical white papers, technical plans or customer discussions.<br><br>Manage your time effectively when working on multiple deals simultaneously, ensuring a positive customer experience is maintained.<br><br>Maintain accurate activity, contact, and account technical information of all customers and prospects in our CRM (Salesforce).<br><br>Apply if you<br><br>Have a high aptitude for security technology in network, endpoint and application areas. The CISSP accreditation would also be beneficial.<br><br>Are currently or have previously worked in a pre-sales engineer role, managing end to end technical aspects of deals, through to technical closure.<br><br>Can demonstrate your problem solving skills and how this has impacted key wins within your current organisation.<br><br>Understand and can demonstrate your ability to build and maintain customer relationships, including your ability to effectively communicate technically to a range of both external and internal stakeholders.<br><br>Have a strong understanding of NGFW, advanced routing / SD-WAN, devops / automation tools, public / private cloud, ATP, NOC/SOC, WAF, SEG, XDR, NAC, LAN/WLAN. We are looking for a candidate who is an expert in at least two of above areas.<br><br>What you can expect from us<br><br>Excellent training and development opportunities, providing you with all the tools you need to be successful.<br><br>An open working environment, sharing knowledge and information collaboratively and transparently, with respect to everyone’s thoughts and opinions.<br><br>The opportunity to be part of an innovative, collaborative and winning team.<br><br>A competitive salary and incentive compensation package, including stock awards, health and welfare benefits.<br><br>Your New Employer<br><br>From the start, the Fortinet vision has been to deliver broad, truly integrated, high-performance security across the IT infrastructure. Today, we secure the largest enterprises, service providers and government organizations around the world.<br><br>Fortinet empowers its customers with intelligent, seamless protection across the expanding attack surface and the power to take on ever-increasing performance requirements of the borderless network – today and into the future. We have proven to be a truly innovative technology driven network security company with over 619 registered Global Patents. This is over 3 times more than our closest most innovative competitor!

<p>Support the day-to-day administration and consistent execution of Incident Management, Major Incident Management, and Problem Management procedures, workflows, templates, escalation models, and controls. Review incident records for accurate logging, categorization, impact, urgency, priority, assignment, timestamps, service and configuration-item links, diagnostic information, resolution details, user validation, and closure quality. Monitor high-priority, aging, breached, reopened, customer-sensitive, and supplier-dependent incidents; follow up with assigned teams and escalate risks or delays through approved paths. Support major-incident declaration, bridge-call coordination, participant activation, timeline and action logging, restoration tracking, stakeholder communications, and formal stand-down under the direction of the Major Incident Manager or Practice Lead. Coordinate service desk, technical, cloud, infrastructure, application, cybersecurity, supplier, customer, and business teams to support rapid and safe restoration, ensuring workarounds, emergency changes, failover, and recovery actions are authorized and recorded. Collect logs, monitoring information, decisions, impact details, timelines, and supporting evidence for major-incident reports, post-incident reviews, customer reporting, and audits; document lessons learned and track actions. Identify and register problem candidates from major and recurring incidents, trend and monitoring data, failed changes, post-release issues, supplier performance, availability or capacity concerns, and known operational risks. Support structured root-cause analysis using approved techniques, document causes and contributing factors, and track corrective and preventive actions to verified closure. Maintain problem backlogs, known errors, workarounds, temporary fixes, permanent-resolution actions, owners, target dates, risks, dependencies, and links among incident, problem, change, knowledge, supplier, service, and configuration-item records. Ensure verified workarounds and known errors are published to service desk and support teams, remain current, and are used to improve first-line resolution. Produce operational reports and dashboards covering incident trends, SLA performance, response and restoration times, backlog age, reopen rate, major and repeat incidents, problem status, known-error age, and action closure. Prepare meeting packs, minutes, decision records, and action logs for major-incident reviews, problem reviews, backlog meetings, supplier discussions, and service-improvement forums. Support monitoring, event-management, automation, runbook, knowledge, shift-left, swarming, and self-healing improvements that reduce detection, diagnosis, restoration, and recurrence times. Maintain procedures, priority models, communication templates, escalation lists, major-incident checklists, root-cause templates, known-error content, and knowledge articles under document control. Assist with record-quality reviews, process compliance checks, supplier follow-up, customer or audit evidence preparation, and closure of identified gaps or corrective actions. Identify recurring process weaknesses, data-quality issues, bottlenecks, supplier delays, and automation opportunities, and contribute to practical continual-improvement initiatives.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>Required Education, Knowledge, and Certifications:</strong> Bachelor’s degree in information technology, computer science, software engineering, engineering, information systems, or a related discipline. ITIL 4 Foundation certification is required; relevant training in Incident Management, Major Incident Management, Problem Management, Monitor, Support and Fulfil, or Create, Deliver and Support is strongly preferred. Training in Site Reliability Engineering, SIAM, COBIT, ISO/IEC 20000, Lean Six Sigma, risk management, business continuity, project management, or information security is advantageous. Good working knowledge of IT service management, service operation and transition, service reliability, operational resilience, customer experience, service levels, supplier obligations, and continual improvement. <strong>Required Hard Skills:</strong> Working knowledge of Incident, Major Incident, and Problem Management lifecycles, roles, priority models, escalation paths, communications, governance forums, and record requirements. Ability to review incident and problem records, identify missing or inconsistent data, monitor SLA and aging status, maintain traceability, and follow approved escalation and closure procedures. Practical capability in major-incident coordination, bridge-call administration, timeline and action logging, stakeholder updates, restoration tracking, and post-incident documentation. Ability to support root-cause analysis, distinguish symptoms from causes, document contributing factors, and track corrective and preventive actions to verified closure. Working knowledge of enterprise ITSM platforms, monitoring and observability tools, knowledge bases, dashboards, workflow automation, CMDB, service mapping, and audit trails. Understanding of infrastructure, cloud, networks, telecommunications, cybersecurity, databases, middleware, applications, and end-user computing sufficient to coordinate multi-team support. Ability to prepare operational dashboards, trend reports, incident summaries, root-cause documents, meeting minutes, management presentations, and auditable supporting evidence. Working knowledge of analytical techniques such as Pareto analysis, 5 Whys, fishbone analysis, chronology analysis, causal mapping, and basic data analysis.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div> <div> Hamad Bin Khalifa University (HBKU), a member of the Qatar Foundation for Education, Science and Community Development (QF), was founded in 2010 to continue fulfilling QF s vision of unlocking human potential. Located within Education City, Hamad Bin Khalifa University is dedicated to developing world-class integrated graduate and select undergraduate academic programs, advancing national research capabilities and cultivating leaders who drive meaningful change. <br> </div> <div> <p>The College of Science and Engineering (CSE) currently offers the largest selection of programs within the university and aspires to be a leading college committed to excellence in research and education, with a major emphasis on interdisciplinary research and scholarship. It has established three divisions, each comprising significant postgraduate and undergraduate schools:</p> <ul> <li>Division of Chemical and Environmental Engineering: with an emphasis on sustainable energy, the natural environment, and the built environment.</li> <li>Division of Information and Communications Technologies and Electrical Engineering: with an emphasis on artificial intelligence, cybersecurity, big data, networking and communication technologies, sensors, vision and computer graphics, and human-computer interaction (HCI).</li> <li>Division of Mechanical and Industrial Engineering: with an emphasis on logistics, supply chain management, and sports and entertainment management.</li> </ul> <p>CSE s faculty members are internationally recognized for pursuing high-impact research that addresses societal and economic needs in Qatar and around the world.</p> </div> <div> Expand All <br> </div> <div> <div> <div> Position<br><div> <div> <p>The College of Science and Engineering at Hamad Bin Khalifa University seeks applications for a Post-Doctoral Fellow to support the development, modelling, and experimental testing of advanced thermal management and environmental systems. The research will focus on atmospheric water generation, HVAC and cooling systems, thermal energy storage, heat recovery, and outdoor thermal comfort. The successful candidate must have strong hands-on experience in numerical modelling and experimental validation.</p> </div> </div> </div> <div> Job Role Description<br><div> <div> <ul> <li>Develop numerical models for thermal, fluid-flow, HVAC, and environmental systems. </li> <li>Use <strong>ENVI-met </strong>to evaluate outdoor thermal comfort and urban heat mitigation using indicators such as UTCI and PET. </li> <li>Use <strong>COMSOL Multiphysics </strong>and <strong>ANSYS </strong>to simulate airflow, heat and mass transfer, filtration systems, cooling components, and thermal storage. </li> <li>Model and optimize atmospheric water generation and condensation processes under different temperature and humidity conditions. </li> <li>Support the design and analysis of vapor-compression cooling, absorption cooling, heat recovery, and phase-change material systems. </li> <li>Design and operate laboratory-scale experimental test rigs. </li> <li>Install and manage sensors for temperature, humidity, airflow, water flow, pressure, water quality, and system performance. </li> <li>Compare simulation results with experimental measurements and improve the models accordingly. </li> <li>Analyse research data and contribute to technical reports, journal papers, presentations, and research proposals. </li> <li>Work closely with the research team and provide clear documentation of models, experiments, and results.</li> </ul> </div> </div> </div> <div> Minimum Knowledge, Skills &amp; Experience<br><div> <div> <ul> <li>PhD in Mechanical Engineering, Thermofluids, Energy Engineering, HVAC, or a closely related field. </li> <li>Advanced practical proficiency in the following software is required:<ul> <li><br></li></ul></li></ul></div></div></div></div></div> </div></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span>The <b>CSEA Contractor</b> is expected to provide hands-on support to the Cyber Security Engineering and Architecture section by contributing to security architecture activities, technical security reviews, control implementation, risk assessments and advisory services across enterprise systems, infrastructure, cloud environments and applications.</span><br></p><br><p><span>The contractor is expected to have:</span><br></p><br><ul><li><span>Hands-on experience with Enterprise Security Architecture methodologies and modern security technologies, including IAM, SIEM, EDR/XDR, WAF, SASE, Zero Trust, cloud security, and security automation tools.</span><br></li><li><span>Strong knowledge of IT infrastructure security, including network security, cloud security, endpoint security, identity security, and secure architecture design principles.</span><br></li><li><span>Strong knowledge of application security, including secure SDLC, DevSecOps, API security, secure coding practices, and application threat modeling.</span><br></li><li><span>Experience implementing, validating, and reviewing security controls across IT infrastructure, cloud platforms such as AWS, Azure, and GCP, and enterprise applications.</span><br></li><li><span>Experience developing, maintaining, and enhancing security control libraries, security patterns, baselines, and architecture standards, while ensuring their integration into security architecture and engineering activities.</span><br></li><li><span>Strong understanding of cybersecurity standards, laws, and frameworks, including NIST, ISO/IEC 27001, CIS Controls, GDPR, PCI-DSS, and other relevant regulatory or compliance requirements.</span><br></li><li><span>Strong understanding of cybersecurity best practices, including secure network architecture, endpoint protection, identity and access management, cloud security, DevSecOps, and defense-in-depth design.</span><br></li><li><span>Experience conducting security design reviews, architecture assessments, threat modeling, technical risk assessments, and security gap assessments.</span><br></li><li><span>Ability to support business units, project teams, IT teams, and security stakeholders in selecting, designing, and implementing secure information systems and technology solutions.</span><br></li><li><span>Experience with security automation and scripting using tools and languages such as Python, PowerShell, Bash, Terraform, Ansible, or similar technologies.</span><br></li><li><span>Ability to support security investigations, incident response activities, forensic analysis, root cause analysis, and post-incident improvement recommendations when required.</span><br></li><li><span>Experience providing technical consultation and advisory support on CSEA-related projects, initiatives, and engagements as requested by the CSEA Section Head.</span><br></li><li><span>Excellent ability to translate technical cybersecurity concepts, risks, and recommendations into clear business language for both technical and non-technical stakeholders.</span><br></li><li><span>Experience participating in cybersecurity committees, technical working groups, architecture review boards, project meetings, and cross-functional security discussions.</span><br></li><li><span>Strong problem-solving, analytical, and decision-support skills, with the ability to assess complex technical environments and recommend practical security solutions.</span><br></li><li><span>Ability to work independently while also collaborating effectively with security architects, SOC analysts, IT teams, application teams, project managers, and business stakeholders.</span><br></li><li><span>Excellent verbal and written communication skills, with the ability to document security findings, architecture recommendations, risks, and remediation actions clearly and professionally.</span><br></li><li><span>Ability to mentor and support CSEA team members as needed by transferring knowledge, sharing technical expertise, and contributing to the development of internal cybersecurity engineering and architecture capabilities.</span><br></li></ul><p><span><b>Key Deliverables:</b></span></p><br><p><span>The contractor may be expected to support or deliver:</span><br></p><br><ul><li><span>Security architecture reviews</span><br></li><li><span>Security design review reports</span><br></li><li><span>Threat models and risk assessments</span><br></li><li><span>Security control mapping and recommendations</span><br></li><li><span>Architecture patterns, baselines, and standards</span><br></li><li><span>Technical security advisory reports</span><br></li><li><span>Secure design recommendations for infrastructure, cloud, and applications</span><br></li><li><span>Security improvement roadmaps</span><br></li><li><span>Support for incident response, investigations, and technical analysis</span><br></li><li><span>Knowledge transfer sessions for CSEA members</span><br></li></ul><br><span>Requirements</span><p><span><span><b>Education:</b></span></span></p><br><ul><li><span>Bachelor’s degree in a technology-related field, such as Cybersecurity, Computer Science, Computer Engineering, Information Security, Information Technology, or a related discipline. A higher degree or relevant professional certifications are preferred.</span><br></li></ul><span><span>Experience:</span></span><br><ul><li><span><span>Minimum&nbsp;<span>of 10 years relevant experience</span><span> in cybersecurity, information security, security engineering, or IT infrastructure security, with at least 3 years of hands-on experience in cybersecurity architecture, security engineering, or enterprise security architecture.</span></span></span><br></li></ul><span><span>Preferred Certifications:</span></span><br><br><ul><li>CISSP, CISM, SABSA, or TOGAF certifications preferred.<br></li><li>Cloud security certifications such as CCSP, Azure Security Engineer, or AWS Security Specialty preferred.<br></li><li>Cybersecurity certifications such as GCIH, GCIA, GSEC, or Security+ preferred.<br></li><li>Other relevant cybersecurity, cloud security, or architecture certifications considered.<br></li></ul><b><i><span>Proficiency in English &amp; Arabic is required.</span></i></b><br><br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A GRC Senior Analyst / Specialist supports the governance, risk, and compliance framework to ensure alignment with national cyber regulations, security policies and government assurance standards. The role focuses on identifying, assessing and managing cyber and information security risks across systems and operations, while ensuring compliance with applicable regulatory frameworks, security controls and audit requirements. It involves maintaining risk registers, supporting security assessments and tracking remediation of vulnerabilities and control gaps. The position also works closely with security, IT, and government stakeholders to strengthen cybersecurity governance, support accreditation processes and ensure continuous compliance with national cybersecurity mandates. Core Activities: Provide expert consultation on Governance, Risk, and Compliance (GRC) matters. Review, assess, and enhance enterprise cybersecurity architecture. Conduct reviews of QCSF evidence and provide compliance recommendations. Deliver cybersecurity consultancy and practical security solutions to internal stakeholders. Identify cybersecurity risks and recommend mitigation strategies. Support the implementation of cybersecurity policies, standards, and best practices. Collaborate with business and technical teams to improve cybersecurity posture. Prepare reports, assessments, and recommendations for management. Stay updated with emerging cybersecurity threats, technologies, and regulatory requirements. Key Responsibilities: Act as a subject matter expert for cybersecurity governance, risk, and compliance. Review and improve enterprise cybersecurity architecture to ensure alignment with business and security objectives. Evaluate compliance against the Qatar Cyber Security Framework (QCSF) and recommend corrective actions. Provide strategic cybersecurity guidance to stakeholders across the organisation. Develop and recommend cybersecurity controls and solutions based on risk assessments. Support cybersecurity audits, assessments, and compliance activities. Ensure cybersecurity initiatives align with organisational policies and industry standards. Produce high-quality documentation, reports, and technical recommendations. Mentor stakeholders on cybersecurity best practices where required</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Education: Bachelor s or Master s degree in Cybersecurity, Information Security, Computer Science, Information Technology, or a related discipline. Experience: Minimum of 10 years experience in cybersecurity, with strong expertise in Governance, Risk &amp; Compliance (GRC), enterprise cybersecurity architecture and regulatory compliance. Mandatory Certifications: CIIP (Certified Information Infrastructure Professional) CISM (Certified Information Security Manager) Preferred Certifications: GICSP (Global Industrial Cyber Security Professional) CCISO (Certified Chief Information Security Officer) Skills &amp; Competencies: Strong knowledge of Governance, Risk &amp; Compliance (GRC) frameworks. Extensive experience with Enterprise Cybersecurity Architecture. Thorough understanding of the Qatar Cyber Security Framework (QCSF). Strong cybersecurity consulting and advisory skills. Excellent analytical and problem-solving abilities. Ability to assess risks and recommend effective security solutions. Excellent communication, stakeholder management, and report-writing skills. Ability to work independently and collaboratively within multidisciplinary teams. Strong understanding of international cybersecurity standards and best practices. Language Proficiency: Proficiency in English &amp; Arabic is required.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>The <b>Helpdesk Agent (Call Center Agent)</b> will serve as the first point of contact for users requiring IT support through phone, email, live chat, and ticketing channels. The role involves diagnosing and resolving technical issues, logging incidents and service requests accurately, providing remote troubleshooting support, and escalating unresolved problems to the appropriate technical teams.<br></p><br><p>The Helpdesk Agent will also maintain complete ticket documentation, follow ITIL-aligned processes, deliver professional customer service, and support users with common applications, systems, and workplace technology.<br></p><br><br><span>RequirementsBachelor’s Degree in Information Technology, Computer Science, or a related field.<br>Minimum <b>5 years</b> of experience in IT Helpdesk, Service Desk, Call Center IT Support, or User Support.<br>Strong knowledge of Windows operating systems, Microsoft Office 365, Microsoft Teams, Microsoft Edge, and desktop troubleshooting.<br>Experience using ITSM or ticketing systems; <b>SMAX experience is preferred</b>.<br>Ability to diagnose and resolve common hardware, software, access, connectivity, and application-related issues remotely.<br>Strong incident logging, ticket prioritization, escalation, and follow-up skills.<br>Excellent telephone etiquette, customer-service orientation, and communication skills.<br>Ability to remain professional and composed while handling urgent issues or difficult users.<br><b>ITIL certification is mandatory</b>.<br>Fluent in <b>Arabic and English</b>, both written and spoken.<br>Willingness to work rotational shifts, including nights, weekends, and public holidays.<br></span><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p>The <b>Helpdesk Agent (Call Center Agent)</b> will serve as the first point of contact for users requiring IT support through phone, email, live chat, and ticketing channels. The role involves diagnosing and resolving technical issues, logging incidents and service requests accurately, providing remote troubleshooting support, and escalating unresolved problems to the appropriate technical teams.<br></p><br><p>The Helpdesk Agent will also maintain complete ticket documentation, follow ITIL-aligned processes, deliver professional customer service, and support users with common applications, systems, and workplace technology.<br></p><br><br><span>RequirementsBachelor’s Degree in Information Technology, Computer Science, or a related field.<br>Minimum <b>5 years</b> of experience in IT Helpdesk, Service Desk, Call Center IT Support, or User Support.<br>Strong knowledge of Windows operating systems, Microsoft Office 365, Microsoft Teams, Microsoft Edge, and desktop troubleshooting.<br>Experience using ITSM or ticketing systems; <b>SMAX experience is preferred</b>.<br>Ability to diagnose and resolve common hardware, software, access, connectivity, and application-related issues remotely.<br>Strong incident logging, ticket prioritization, escalation, and follow-up skills.<br>Excellent telephone etiquette, customer-service orientation, and communication skills.<br>Ability to remain professional and composed while handling urgent issues or difficult users.<br><b>ITIL certification is mandatory</b>.<br>Fluent in <b>Arabic and English</b>, both written and spoken.<br>Willingness to work rotational shifts, including nights, weekends, and public holidays.<br></span><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced technology leader to drive AI and product innovation across a portfolio of startup ventures. The role involves defining technology strategy, guiding AI-powered product development, mentoring engineering teams, and working closely with founders to build scalable, market-ready solutions.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Lead technology and AI strategy.</p></li><li><p>Build and scale AI-powered products and MVPs.</p></li><li><p>Guide startups on architecture, cloud, APIs, and AI adoption.</p></li><li><p>Implement engineering standards and reusable frameworks.</p></li><li><p>Collaborate with founders, product teams, and investors.</p></li><li><p>Mentor engineers and foster a high-performance culture.</p><br></li></ul><p><strong>Requirements</strong></p><ul><li><p>5+ years in software engineering, AI, or technology leadership.</p></li><li><p>Strong experience with Python, FastAPI, React/Next.js, APIs, and cloud platforms.</p></li><li><p>Hands-on knowledge of LLMs, AI agents, vector databases, and workflow automation.</p></li><li><p>Experience building products from concept to deployment.</p></li><li><p>Strong communication and stakeholder management skills.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Advanced degree (Ph.D. or Master's) in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.</li><li>10+ years of progressive experience in AI/ML research and development, with at least 5 years in a leadership capacity.</li><li>Proven track record of successfully delivering complex AI projects from conception to production.</li><li>Deep understanding of various AI domains, including machine learning, deep learning, NLP, computer vision, and reinforcement learning.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Job Summary</strong><br>We are seeking a Cybersecurity Proposal &amp; Pre-Sales Specialist to support the end-to-end development of technical proposals, RFP/RFI/RFQ responses, and tender submissions. The role focuses on analyzing customer requirements, preparing compliant technical documentation, and coordinating with internal SMEs and technology partners to deliver high-quality cybersecurity proposals.</p><p><strong>Key Responsibilities</strong></p><ul><li><p>Analyze RFPs, RFIs, RFQs, and tender documents to identify technical and compliance requirements.</p></li><li><p>Prepare and review technical proposals, Statements of Work (SOW), compliance matrices, and solution documentation.</p></li><li><p>Coordinate with cybersecurity SMEs, solution architects, delivery teams, and vendors to gather technical inputs.</p></li><li><p>Maintain proposal templates, content libraries, and reusable response repositories.</p></li><li><p>Ensure proposal quality, accuracy, compliance, and on-time submission.</p></li><li><p>Support solution scoping, BOQ preparation, and technical presentations when required.</p></li></ul><p><strong>Requirements</strong></p><ul><li><p>Bachelor's degree in Computer Science, IT, Cybersecurity, Engineering, or a related field.</p></li><li><p>5–8 years of experience in cybersecurity pre-sales, proposal writing, bid management, technical consulting, or security operations/GRC roles.</p></li><li><p>Strong experience responding to RFPs, RFIs, and RFQs.</p></li><li><p>Good understanding of cybersecurity domains such as SOC, SIEM, IAM/PAM, GRC, DLP, EDR, and Network Security.</p></li><li><p>Excellent technical writing and documentation skills in English.</p></li><li><p>Knowledge of frameworks such as ISO 27001, NIST, or NCA/NIA cybersecurity standards is preferred.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

Job Purpose<br><br>The Android Developer will design, develop, and maintain mobile applications for Android devices, ensuring functionality, usability, and performance.<br><br>2–4 years<br><br>Doha, Qatar<br><br>Full Time<br><br>Key Responsibilities<br><br> Develop and maintain Android applications using Java/Kotlin. Integrate APIs, SDKs, and backend services. Ensure app compatibility across various devices and OS versions. Implement secure coding practices and performance optimizations. Collaborate with designers and backend developers. Perform unit testing and troubleshoot issues before deployment.<br><br>Required Qualifications<br><br> Bachelor’s degree in Computer Science, Software Engineering, or related field. 2–4 years of proven Android development experience. Proficiency in Android Studio and related frameworks. Candidates must be currently residing in Qatar.<br><br>Preferred Certifications<br><br> Google Associate Android Developer (AAD) Kotlin Certified Developer Firebase Developer Certification