Python Developer Jobs in Qatar
410 Jobs Found
Qatar - Qatar
<p>Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)</li><li>Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.</li><li>Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.</li><li>Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.</li><li>Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).</li><li>Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).</li><li>Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).</li><li>Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field.</li><li>Must be available to travel as needed for meetings, conferences, and project requirements.</li><li>Languages: Arabic and English</li></ul><p>Preferred Qualifications:</p><ul><li>Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.</li><li>Experience with AI model optimization, quantization, or deployment to edge devices.</li><li>Hands-on experience designing RAG pipelines and/or multi-agent systems.</li><li>Experience designing data architectures (batch & streaming) and working with big data technologies.</li><li>Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.</li></ul>
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<span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity.<br> This is an estimate and not a schedule requirement; you choose when and how to work.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation Up to $50/hr equivalent , depending on level and pace.<br> Tasks are estimated at ~20 hours each; you set your own schedule.<br></span> </div>
Qatar - Doha
Please submit your CV in English and indicate your level of English proficiency.<br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br><br>You'll create challenging tasks and evaluation criteria within realistic simulated environments:<br><br>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust<br><br>What this is NOT:<br><br>Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate<br><br>What we look for:<br><br>5+ years in software development Core stack: Python (Fast API), Java Script/Type Script (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+<br><br>Why this is hard:<br><br>Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br><br>Requirements And Benefits<br><br>Educational qualifications<br><br>A Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. Bachelor's degree is accepted if only candidate has 5 years of experience in the field<br><br>Academic and/or Professional Experience<br><br>Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Compensation:<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr. Because payment is per task, a faster pace raises your effective hourly rate.<br><br>Why this freelance opportunity might be a great fit for you? <br><br>Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. - Influence how future AI models understand and communicate in your field of expertise
Qatar - Doha
???? We're Hiring: AI Engineer Intern – Path to Full-Time (On-site – Lusail, Qatar)<br>CFO Advisory & Accountancy LLC (CFOAI) is looking for a curious and driven fresh graduate to join our team as an AI Engineer Intern at our Lusail office. About Us CFOAI is a Qatar-based Virtual CFO and accountancy firm serving SMEs across Qatar and the GCC. We build technology-enabled financial solutions and are actively integrating AI into our products and client services using Azure AI, large language models, and intelligent automation.<br>The Opportunity This is a 3-month on-site internship where you will work on real AI projects with real business applications. You will not be watching tutorials — you will be building, testing, and deploying AI-powered features that solve actual client problems. At the end of the 3 months, top performers will receive a full-time job offer based on their technical growth, commitment, problem-solving ability, and overall contribution.<br>This is an unpaid internship. Instead of a salary, we invest in you:Access to Azure AI services, development tools, and cloud environments Hands-on experience building AI solutions for real business use cases Direct mentorship and guidance from senior team members A real portfolio of AI projects you can showcase to any future employer A clear path to a paid full-time position based on your performance What You'll Work OnBuild and integrate AI agents and assistants using Azure AI Foundry Work with large language models (LLMs) for business applications Develop prompt engineering solutions and AI workflows Integrate AI capabilities into existing platforms and tools Work with APIs, data pipelines, and cloud services Explore and prototype AI use cases for finance and accounting What We're Looking For Fresh graduate with a degree in Artificial Intelligence, Machine Learning, or a closely related AI-focused program Solid understanding of machine learning fundamentals (supervised/unsupervised learning, neural networks, model evaluation) Proficiency in Python and familiarity with ML libraries (Tensor Flow, PyTorch, or scikit-learn) Interest in large language models, prompt engineering, and applied AIFamiliarity with APIs and data processing Curious, self-driven, and eager to experiment Good English communication skills Must be based in Qatar Nice to Have Graduation project involving NLP, computer vision, or LLM applications Experience with Azure AI services, Open AI API, or similar platforms Knowledge of Lang Chain, vector databases, or RAG architectures Personal AI projects or a Git Hub portfolio Understanding of data pipelines and SQLExposure to MCP (Model Context Protocol) or AI agent frameworks Details Location: On-site, Lusail – Burj Marina Tower, 13th Floor Duration: 3 months (unpaid internship with path to full-time employment) Working hours: Sunday to Thursday, 9:00 AM – 5:00 PMWhat you get: tools, resources, mentorship, real projects, and a portfolio — not a paycheck<br>To apply, send your CV to careers@cfoai.cpa
toto
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<strong>Job Title: Data Management Development Lead</strong><br> <strong>Reporting To</strong><br> Control & Services Head <strong>Role Purpose</strong><br> Lead the development, management, and optimization of digital documentation systems, metadata, and tools to support engineering and construction projects. Drive digital transformation, improve data quality, and enable efficient access to technical documentation across the organization. <strong>Key Responsibilities</strong><br> <strong>1. Data & Documentation Management</strong><ul><li>Structure, maintain, and enhance metadata for large volumes of technical documentation (~350,000 documents).</li><li>Ensure accuracy, integrity, and compliance with internal standards and numbering rules.</li><li>Manage document lifecycle including upload, updates, and integration into document management systems.</li><li>Ensure all technical documentation meets required digital formats (e.g., intelligent PDFs).</li></ul><strong>2. Application & Tool Development</strong><ul><li>Manage and enhance document viewing platforms and related interfaces.</li><li>Develop standalone viewers and integrate systems with enterprise applications (e.g., SAP, 3D models).</li><li>Lead development of dashboards, reporting tools, and automation solutions.</li><li>Support development of plugins and intelligent document tools.</li></ul><strong>3. Digital Transformation & Integration</strong><ul><li>Support digital twin initiatives and TAG-based data structures.</li><li>Build interfaces between document systems and digital platforms.</li><li>Contribute to data governance and process automation initiatives.</li><li>Collaborate with IT and data teams for system enhancements.</li></ul><strong>4. Project & Stakeholder Management</strong><ul><li>Lead projects including scope definition, planning, execution, and monitoring.</li><li>Coordinate with planning, document control, cost control, and engineering teams.</li><li>Act as key interface between engineering, data, and digital teams.</li><li>Manage contractors and validate deliverables and invoices.</li></ul><strong>5. Standards & Compliance</strong><ul><li>Maintain and update document control standards, numbering systems, and workflows.</li><li>Ensure alignment with internal policies and digital strategy.</li><li>Support implementation of best practices for data standardization and quality assurance.</li></ul><strong>6. HSE Responsibilities</strong><ul><li>Promote and comply with HSE standards and safety initiatives.</li><li>Improve documentation quality to reduce operational and safety risks.</li></ul><strong>Key Deliverables</strong><ul><li>High-quality metadata and structured documentation systems</li><li>Efficient document access and retrieval tools</li><li>Accurate dashboards and reporting systems</li><li>Integrated digital tools supporting project controls</li></ul><strong>Qualifications & Experience</strong><ul><li>15+ years of experience in document control and data management in large industrial/EPC projects</li><li>Strong expertise in:<ul><li>Power BI, SQL</li><li>SAP, Primavera P6</li><li>Data integration and reporting tools</li></ul></li><li>Working knowledge of Python, AI, and ML (intermediate level)</li><li>Experience in digital transformation and document digitization</li><li>Strong understanding of project controls (EVM, KPIs, risk management)</li><li>Proven leadership, coordination, and stakeholder management skills</li><li>Fluent in English</li></ul><strong>Work Environment</strong><ul><li>Office-based role with possible site visits (onshore/offshore)</li><li>Standard working hours, 5 days per week</li><li>High interaction with cross-functional teams</li></ul><br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div>
Qatar - Doha
Black & Grey HR is recruiting for an established technology solutions and services provider in Doha, Qatar. Our client is seeking an experienced Senior SOC Engineer to lead advanced security monitoring, threat detection, and vulnerability management across enterprise IT, OT, and cloud environments. This role is critical in strengthening cyber resilience through proactive threat hunting, incident response, and continuous SOC maturity improvement within a high-availability, mission-critical environment.<br>Key Responsibilities Security Monitoring & Incident Response Investigate security incidents and provide advanced technical support for detection and response. Perform real-time monitoring across SIEM, XDR/EDR, NDR, OT, and cloud security platforms. Conduct root cause analysis (RCA) and document lessons learned. Coordinate containment, eradication, and recovery actions during incidents. Ensure adherence to defined SLAs and KPIs for incident handling and escalation.<br>Detection Engineering & Use Case Management Develop and tune SIEM/XDR correlation rules aligned with MITRE ATT&CK. Reduce false positives and enhance detection coverage. Implement advanced detection use cases for ransomware, insider threats, data exfiltration, and APT activity. Onboard log sources, develop parsers, and normalize data for improved visibility. Continuously review and optimize detection thresholds and logic.<br>Vulnerability Management Lead the full vulnerability management lifecycle from discovery to remediation validation. Correlate vulnerability data with threat intelligence and exploitability context. Prioritize remediation based on CVSS, business impact, and asset criticality. Validate remediation effectiveness through rescans and testing support. Prepare executive dashboards and reports on risk exposure and remediation trends.<br>Threat Hunting & Intelligence Integration Perform proactive threat hunting using hypothesis-driven methodologies. Integrate threat intelligence feeds into SIEM/XDR platforms. Track emerging TTPs and adjust detection strategies accordingly. Support adversary simulation and red-team validation exercises. Share actionable threat intelligence insights with stakeholders.<br>Reporting & Stakeholder Management Track critical and high-risk vulnerabilities and SLA breaches. Provide remediation and risk trend reporting. Maintain audit-ready documentation and compliance evidence. Prepare executive-level reports on threat posture and security metrics.<br>Requirements8+ years of experience in IT security operations or information security. Bachelor’s degree in Cybersecurity, Information Security, Computer Science, or related field.<br>Mandatory Certification (any one):Tenable Certified Nessus Professional (TCNP) Tenable Certified Security Center (TCSC) Qualys VMDR Specialist Qualys WAS Specialist<br>Preferred Certifications:CEHMicrosoft SC-200OSCP<br>Required Skillset Hands-on experience with SIEM, XDR/EDR, NDR, SOAR, and cloud security monitoring. Strong knowledge of MITRE ATT&CK, threat hunting, and log correlation. Expertise in vulnerability management lifecycle and risk-based prioritization. Experience supporting SOC build, tuning, automation, and maturity improvement. Familiarity with ISO 27001, NIST CSF, and regulatory frameworks. Proficiency with tools such as Tenable, Qualys, Rapid7, Burp Suite, and Acunetix. Experience in incident triage, malware analysis basics, and network traffic analysis. Basic scripting (Power Shell, Python, KQL, SPL). Strong reporting, documentation, and stakeholder communication skills.
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<span><u><b>Job Summary</b></u>
<br></span><p>The Cloud Developer partners with technical teams and senior architects to analyze technical and non-technical requirements to eventually build cloud-based solutions. The developer will assess the trade-offs between different solutions as it relates to the integration between external and internal systems using impact analysis. The developer is also proficient in developing systems using different technologies and can communicate the results back to the technical teams and senior architects. Cloud developers will also work with end-users to optimize integration and user-experience. </p><br>
<br><br><u><b>Job Responsibilities 1</b></u>
<br><p>Develop and implement cloud-based applications and solutions using platform-as-a-service (PaaS) and infrastructure-as-a-service (IaaS) offerings from cloud providers.</p><br>
<p>Design and architect cloud-native applications, leveraging microservices architecture, containers, and serverless computing.</p><br>
<p>Collaborate with cross-functional teams to gather requirements, define technical specifications, and develop cloud solutions that meet business needs.</p><br>
<p>Implement best practices for cloud security, identity and access management, and compliance to ensure the integrity and confidentiality of data.</p><br>
<p>Optimize cloud applications for performance, scalability, and cost-effectiveness, leveraging auto-scaling and load balancing capabilities.</p><br>
<p>Integrate cloud-based applications with existing systems and services, ensuring seamless data flow and interoperability.</p><br>
<p>Develop and maintain automated deployment pipelines and CI/CD workflows for continuous integration and delivery of cloud applications.</p><br>
<p>Monitor and troubleshoot cloud applications and infrastructure, identifying and resolving issues to minimize downtime and disruptions.</p><br>
<p>Stay updated on emerging cloud technologies, tools, and best practices, and incorporate them into development processes to drive innovation and efficiency.</p><br>
<p>Provide technical guidance and support to junior developers, sharing knowledge and best practices for cloud development.</p><br>
<br><br><u><b>Job Responsibilities 2</b></u>
<br><br><b>Additional Responsibilities 3</b>
<br><br><u><b>Job Knowledge & Skills</b></u>
<br><p>Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud, including services like EC2, S3, Azure Functions, and Google Cloud Functions.</p><br>
<p>Strong understanding of programming languages such as Python, Java, or Node.js, and experience with cloud-native development frameworks like AWS Lambda, Azure Functions, or Google Cloud Functions.</p><br>
<p>Knowledge of containerization technologies such as Docker and container orchestration platforms like Kubernetes for deploying and managing cloud-native applications.</p><br>
<p>Familiarity with infrastructure-as-code tools like Terraform or AWS CloudFormation for provisioning and managing cloud resources.</p><br>
<p>Excellent problem-solving and troubleshooting skills to diagnose and resolve issues in cloud-based environments efficiently.</p><br>
<p>ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.</p><br><br><br><u><b>Job Experience</b></u>
<br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u>
<br>Agility<br>AI Fluency<br>Resilience<br>Quality<br>Leadership<br>Programing Development Skills L3<br>Machine Learning Trends And Techniques L3<br>Cloud Specific Skills L3<br>Project Management L3<br>API Cloud Integration L3<br>Build High-Performing Teams<br>Provide Direction<br><br><br><u><b>Education</b></u>
<br>Bachelor's Degree in Information Technology or any related field<br><br><br><br>
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Qatar - Doha
Who We Are<br><br>Oliver Wyman is a global leader in management consulting. With offices in 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. Over 7,000 professionals help clients optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman’s thought leadership is evident in our agenda-setting books, white papers, research reports, and articles in the business press. Our clients are the CEOs and executive teams of the top Global 1,000 companies. Visit our website for more details about Oliver Wyman: www.oliverwyman.com.<br><br>Practice Overview<br><br>Oliver Wyman is one of the market leaders in GCC public sector strategy consulting. Our Doha office is looking to appoint consultants to support its continued expansion in the government and public sector, a strategic priority for the firm. This is an exciting opportunity to be part of a successful team early in its development. Consultants are given the opportunity for rapid professional growth, to participate in entrepreneurial work, and to share in the success of the team. Our teams are organized around several different specializations: Economic & social development, investment promotion and strategies, governance, fiscal & monetary policies, amongst others.<br><br>The Role And Responsibilities<br><br>Experienced professionals bring the know-how to make lasting change for our clients and our company. We are not typical ‘management’ consultants. We provide industry- and discipline-specific knowledge and expertise, which amplifies our impact and helps us shape the future for our clients. Oliver Wyman is a diverse, entrepreneurial, non-competitive partnership of individuals who like to pursue new opportunities or build a unique franchise doing what they do best in a collegial, fun environment.<br><br>ASSOCIATE: Break down complex problems into discrete tasks, identifying the key aspects of a problem and directing the focus of junior consultants to those elements. You will effectively plan and execute analysis as well as identify the core issues in complex analyses in order to be able to craft suitable recommendations. You’ll work side by side with clients and your project team members to move projects forward and manage small teams to get the work done. Clients and colleagues look to Associates for unique insight into the subject area which they have chosen.<br><br>ENGAGEMENT MANAGERS are the on-scene leaders who run our projects day to day. You will lead your team through an efficient and effective problem-solving process from initial hypothesis collection to convergence on a solution. You will ensure that recommendations are practical, sensible, relevant, and cohesive. It’s a role that demands thought leadership at the strategic level – and command of all the technical and operational details of execution. You will need great communication skills and the ability to forge strong relationships.<br><br>Your Attributes And Experience<br><br>Clients hire Oliver Wyman for specialized expertise. The ideal candidate will have most of the following:<br><br>A degree from a top academic program At least 5-7 years of relevant experience, ideally with a top-tier strategy consulting firm (or similar organization). Experience in leading projects in the governmental/ public sector institutions, ideally <
Black & Grey HR Consultancy FZE
Qatar
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<span>Black & Grey HR is recruiting for an established technology solutions and services provider in Doha, Qatar. Our client is seeking a SOC Engineer to strengthen its Security Operations Center (SOC) by monitoring, detecting, investigating, and responding to cybersecurity incidents across enterprise IT environments. This role is ideal for professionals with hands-on SOC experience who are passionate about threat detection, incident response, and maintaining a strong organizational security posture.<br><br><br><b>Key Responsibilities</b><br><br><u>Security Monitoring & Incident Detection</u><br><br>- Monitor security alerts generated from SIEM, XDR, EDR, NDR, IDS/IPS, firewalls, and cloud security platforms. <br><br>- Identify, validate, triage, and prioritize security incidents based on severity, impact, and business risk. <br><br>- Continuously monitor security events to detect malicious activities and potential threats. <br><br><br><u>Incident Response & Threat Investigation</u><br><br>- Investigate security incidents and perform root cause analysis. <br><br>- Analyze malware, attack techniques, and suspicious activities to determine impact and remediation actions. <br><br>- Coordinate containment, eradication, and recovery activities with internal teams. <br><br>- Escalate high-severity incidents following established incident response procedures. <br><br><br><u>Threat Hunting & Detection Engineering</u><br><br>- Perform proactive threat hunting activities using scheduled queries and threat intelligence. <br><br>- Monitor threat hunting dashboards and validate suspicious indicators of compromise. <br><br>- Identify emerging attack patterns and recommend improvements to detection capabilities. <br><br><br><u>Vulnerability Management & Security Operations</u><br><br>- Review vulnerability assessment results and monitor remediation progress.<br><br>- Validate patch implementation and ensure timely closure of remediation activities. <br><br>- Support day-to-day security operations and ensure compliance with operational procedures. <br><br><br><u>Reporting & Operational Excellence</u><br><br>- Maintain accurate incident records, investigation notes, and ticket updates. <br><br>- Prepare daily operational reports, shift handover documentation, and incident summaries.<br><br>- Ensure compliance with defined SLAs and operational performance metrics. <br><br>- Contribute to continuous improvement of SOC processes and security operations.<br><br></span><br><span>Requirements- Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field.<br><br>- 1–4 years of hands-on experience working in a Security Operations Center (SOC). <br><br>- Experience monitoring SIEM, EDR/XDR, IDS/IPS, firewalls, email security, and cloud security platforms. <br><br>- Good understanding of incident triage, security event classification, escalation procedures, and ticket management. <br><br>- Strong understanding of networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, VPN, routing, switching, and common network protocols. <br><br>- Experience working with Windows and Linux operating systems, endpoint security, and system log analysis. <br><br>- Knowledge of common cyber threats including phishing, ransomware, malware, brute force attacks, web attacks, and insider threats. <br><br>- Preferred certifications: <br><br> o CompTIA Security+ <br><br> o CompTIA CySA+ <br><br> o EC-Council Certified Network Defender (CND) <br><br> o Cisco CyberOps Associate <br><br> o Microsoft SC-200 <br><br>- Additional certifications such as CHFI or DFIR Foundations will be an advantage.<br><br><br><u>Required Skillset</u><br><br>- Security Information & Event Management (SIEM) monitoring and alert analysis. <br><br>- Endpoint Detection & Response (EDR/XDR) and Network Detection & Response (NDR). <br><br>- Incident detection, triage, investigation, and response. <br><br>- Threat hunting and threat intelligence analysis. <br><br>- Vulnerability management and remediation tracking. <br><br>- Log analysis across endpoints, servers, firewalls, proxies, Active Directory, cloud platforms, and security appliances. <br><br>- Basic scripting skills using PowerShell, Python, or Bash for automation and log analysis. <br><br>- Strong documentation, communication, and incident reporting skills. <br><br>- Ability to work in a 24Ã7 SOC environment and collaborate effectively during security incidents.<br><br></span><br><span>Benefits- Competitive Salary + Benefits Package<br><br></span><br> </div>
Black & Grey HR Consultancy FZE
Qatar
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<span>Black & Grey HR is recruiting for an established technology solutions and services provider in Doha, Qatar. Our client is seeking a SOC Engineer to strengthen its Security Operations Center (SOC) by monitoring, detecting, investigating, and responding to cybersecurity incidents across enterprise IT environments. This role is ideal for professionals with hands-on SOC experience who are passionate about threat detection, incident response, and maintaining a strong organizational security posture.<br><br><br><b>Key Responsibilities</b><br><br><u>Security Monitoring & Incident Detection</u><br><br>- Monitor security alerts generated from SIEM, XDR, EDR, NDR, IDS/IPS, firewalls, and cloud security platforms. <br><br>- Identify, validate, triage, and prioritize security incidents based on severity, impact, and business risk. <br><br>- Continuously monitor security events to detect malicious activities and potential threats. <br><br><br><u>Incident Response & Threat Investigation</u><br><br>- Investigate security incidents and perform root cause analysis. <br><br>- Analyze malware, attack techniques, and suspicious activities to determine impact and remediation actions. <br><br>- Coordinate containment, eradication, and recovery activities with internal teams. <br><br>- Escalate high-severity incidents following established incident response procedures. <br><br><br><u>Threat Hunting & Detection Engineering</u><br><br>- Perform proactive threat hunting activities using scheduled queries and threat intelligence. <br><br>- Monitor threat hunting dashboards and validate suspicious indicators of compromise. <br><br>- Identify emerging attack patterns and recommend improvements to detection capabilities. <br><br><br><u>Vulnerability Management & Security Operations</u><br><br>- Review vulnerability assessment results and monitor remediation progress.<br><br>- Validate patch implementation and ensure timely closure of remediation activities. <br><br>- Support day-to-day security operations and ensure compliance with operational procedures. <br><br><br><u>Reporting & Operational Excellence</u><br><br>- Maintain accurate incident records, investigation notes, and ticket updates. <br><br>- Prepare daily operational reports, shift handover documentation, and incident summaries.<br><br>- Ensure compliance with defined SLAs and operational performance metrics. <br><br>- Contribute to continuous improvement of SOC processes and security operations.<br><br></span><br><span>Requirements- Bachelor's degree in Cybersecurity, Information Technology, Computer Science, or a related field.<br><br>- 1–4 years of hands-on experience working in a Security Operations Center (SOC). <br><br>- Experience monitoring SIEM, EDR/XDR, IDS/IPS, firewalls, email security, and cloud security platforms. <br><br>- Good understanding of incident triage, security event classification, escalation procedures, and ticket management. <br><br>- Strong understanding of networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, VPN, routing, switching, and common network protocols. <br><br>- Experience working with Windows and Linux operating systems, endpoint security, and system log analysis. <br><br>- Knowledge of common cyber threats including phishing, ransomware, malware, brute force attacks, web attacks, and insider threats. <br><br>- Preferred certifications: <br><br> o CompTIA Security+ <br><br> o CompTIA CySA+ <br><br> o EC-Council Certified Network Defender (CND) <br><br> o Cisco CyberOps Associate <br><br> o Microsoft SC-200 <br><br>- Additional certifications such as CHFI or DFIR Foundations will be an advantage.<br><br><br><u>Required Skillset</u><br><br>- Security Information & Event Management (SIEM) monitoring and alert analysis. <br><br>- Endpoint Detection & Response (EDR/XDR) and Network Detection & Response (NDR). <br><br>- Incident detection, triage, investigation, and response. <br><br>- Threat hunting and threat intelligence analysis. <br><br>- Vulnerability management and remediation tracking. <br><br>- Log analysis across endpoints, servers, firewalls, proxies, Active Directory, cloud platforms, and security appliances. <br><br>- Basic scripting skills using PowerShell, Python, or Bash for automation and log analysis. <br><br>- Strong documentation, communication, and incident reporting skills. <br><br>- Ability to work in a 24Ã7 SOC environment and collaborate effectively during security incidents.<br><br></span><br><span>Benefits- Competitive Salary + Benefits Package<br><br></span><br> </div>
Starlink WLL
Qatar - Doha
<p><strong>Key Responsibilities</strong></p><p><em>Odoo System Administration & Maintenance</em></p><ul><li><p>Install, configure, and maintain the Odoo ERP platform across all business units</p></li><li><p>Manage core modules including property management, leasing, accounting, and CRM</p></li><li><p>Ensure system performance, stability, and availability</p></li><li><p>Monitor system health and resolve application-level issues</p></li><li><p>Maintain system configurations and documentation</p></li></ul><p><em>User Management & Access Control</em></p><ul><li><p>Manage user accounts, roles, and permissions within Odoo</p></li><li><p>Ensure access rights are aligned with job roles and organizational policies</p></li><li><p>Safeguard sensitive data related to tenants, finance, and contracts</p></li><li><p>Maintain audit trails of user access and system activities</p></li><li><p>Support onboarding and offboarding processes from a system perspective</p></li></ul><p><em>Module Customization & System Integration</em></p><ul><li><p>Oversee customization and enhancement of Odoo modules to meet business needs</p></li><li><p>Coordinate development of new features and workflows</p></li><li><p>Integrate Odoo with third-party systems, including payment gateways, CRM, and property tools</p></li><li><p>Ensure data consistency and seamless system interoperability</p></li><li><p>Work closely with the Business Analyst to translate requirements into system solutions</p></li></ul><p><em>System Upgrades, Testing & Change Management</em></p><ul><li><p>Plan and execute system upgrades, patches, and enhancements</p></li><li><p>Manage testing environments and coordinate User Acceptance Testing (UAT)</p></li><li><p>Ensure minimal disruption to operations during system changes</p></li><li><p>Implement structured change management processes</p></li><li><p>Maintain version control and system release documentation</p></li></ul><p><em>User Support, Training & Documentation</em></p><ul><li><p>Provide application-level support for Odoo users across all departments</p></li><li><p>Troubleshoot system issues and ensure timely resolution</p></li><li><p>Develop and maintain user manuals, SOPs, and configuration documentation</p></li><li><p>Conduct user training sessions to improve system adoption</p></li><li><p>Support continuous improvement of system usage and efficiency</p></li></ul><p><strong>Skills</strong></p><p><em>Technical / Functional</em></p><ul><li><p>Odoo ERP configuration and administration</p></li><li><p>Knowledge of ERP systems and business processes</p></li><li><p>System integration and API understanding</p></li><li><p>Database management (PostgreSQL preferred)</p></li><li><p>Basic programming or scripting (Python is an advantage)</p></li></ul><p><em>Professional</em></p><ul><li><p>Analytical thinking and problem-solving</p></li><li><p>Strong communication and user support skills</p></li><li><p>Attention to detail and accuracy</p></li><li><p>Ability to manage system changes and priorities</p></li><li><p>Collaboration with cross-functional teams</p></li></ul><p><strong>Education & Certifications</strong></p><ul><li><p>Bachelor's degree in Information Systems, Computer Science, Software Engineering, Business Information Technology, or a similar field</p></li><li><p>Preferred certifications: Odoo Certification, ERP or system administration certification, ITIL Certification</p></li></ul><p><strong>Computer Literacy</strong></p><ul><li><p>Advanced computer skills; proficiency in Odoo ERP, PostgreSQL, integration tools/APIs, and MS Office</p></li></ul><br><br><p><strong>Desired Candidate Profile</strong></p><ul><li><p>5–8 years of experience in ERP administration or system administration roles</p></li><li><p>Minimum 3 years of hands-on experience with Odoo ERP</p></li><li><p>Experience in real estate or property management systems is a strong advantage</p></li><li><p>Fluent English required; Arabic is a plus</p></li></ul>
Qatar - Doha
Senior Full Stack Developer (Contractor)<br><br>Primary Purpose Of The Job<br><br>Design and build efficient and innovative software solutions and interfaces that integrate with the company's existing IT architecture to enable business growth and risk control through automation.<br><br>Key Responsibilities<br><br>Work with traders, risk & finance managers, system architects, business analysts, project managers and other ICT departments to develop efficient and scalable systems, applications, interfaces and tools from scratch, and enable company business growth through a high level of automation and process optimisation. Build and maintain software solutions that fully integrate with the existing third party and in-house platforms in accordance with the company's overall IT architecture design. Provide timely technical support to in-house trading solutions to ensure business continuity. Work with internal IT developers and solution architects to gather technical requirements; design solutions; and build automated tests following the defined coding standards and best practices to ensure the delivery of IT solutions meets the business requirements, are scalable and supportable. Stay updated with the latest technology and tools, find innovative solutions, conduct POCs, and document and share knowledge & practices to help the company gain a sustainable and competitive advantage in the market. Apply security measures by following security procedures and standards to ensure a secure environment; manage and address trading systems vulnerabilities and threats; and adhere to established standards, processes, procedures, and policies throughout the software development life cycle.<br><br>Education<br><br>Bachelor’s degree in computer science, engineering or a related field.<br><br>Experience & Skills<br><br>Software Development Experience<br><br>Minimum 8 years of experience designing, developing and implementing multitier software solutions using C#, Angular JS, . Net within a commodity trading, banking or hedge fund environment. Minimum 3 years of experience developing, deploying, and maintaining systems on Azure, with expertise in Azure services (Azure Active Directory, Azure Functions, Azure Service Bus, Azure App Services, Azure Storage, Azure SQL, Azure Cosmos DB, etc.) and the implementation practices.<br><br>Backend Development<br><br>Experience in backend API development using C#. In-depth knowledge of RESTful and Graph QL web services.<br><br>Frontend Development<br><br>Experience on frontend SPA development using Angular.<br><br>Dev Ops & Cloud Technologies<br><br>Hands on experience with CI/CD tooling, including platforms such as Azure Dev Ops and Git Hub. Experience using infrastructure-as-code tools such as Bicep or Terraform. Knowledge and experience in the implementation and maintenance of cloud solutions using Azure Dev Ops and other cloud technologies (e.g. Microsoft Azure Data Factory, Data Bricks) and building reporting capabilities is preferred.<br><br>Database & Architecture<br><br>Extensive experience in writing efficient SQL and relevant experience with database design. Understanding of microservices architecture. Understanding of microfrontend is preferred.<br><br>Trading & Industry Knowledge<br><br>Good understanding of straight-through-processing (STP) requirements and FIX protocol is preferred. Experience working with any CTRM/ETRM system is preferred.<br><br>Additional Technical Skills<br><br>Ability to perform full SDLC activities using Agile methods, including requirement definition, prototyping, proof of concept, design, implementation, testing and maintenance. Proficiency in Python is a plus.<br><br>Personal & Communication Skills<br><br>Excellent written and verbal communications skills. Self-reliance and self-sufficiency; willingness to help build a business from the ground upwards in a phased manner but with quick short-term solutions essential for success. Strong delivery focus is critical.
Qatar - Doha
Senior Full Stack Developer (Contractor)<br><br>Primary Purpose Of The Job<br><br>Design and build efficient and innovative software solutions and interfaces that integrate with the company's existing IT architecture to enable business growth and risk control through automation.<br><br>Key Responsibilities<br><br>Work with traders, risk & finance managers, system architects, business analysts, project managers and other ICT departments to develop efficient and scalable systems, applications, interfaces and tools from scratch, and enable company business growth through a high level of automation and process optimisation. Build and maintain software solutions that fully integrate with the existing third party and in-house platforms in accordance with the company's overall IT architecture design. Provide timely technical support to in-house trading solutions to ensure business continuity. Work with internal IT developers and solution architects to gather technical requirements; design solutions; and build automated tests following the defined coding standards and best practices to ensure the delivery of IT solutions meets the business requirements, are scalable and supportable. Stay updated with the latest technology and tools, find innovative solutions, conduct POCs, and document and share knowledge & practices to help the company gain a sustainable and competitive advantage in the market. Apply security measures by following security procedures and standards to ensure a secure environment; manage and address trading systems vulnerabilities and threats; and adhere to established standards, processes, procedures, and policies throughout the software development life cycle.<br><br>Education<br><br>Bachelor’s degree in computer science, engineering or a related field.<br><br>Experience & Skills<br><br>Software Development Experience<br><br>Minimum 8 years of experience designing, developing and implementing multitier software solutions using C#, Angular JS, . Net within a commodity trading, banking or hedge fund environment. Minimum 3 years of experience developing, deploying, and maintaining systems on Azure, with expertise in Azure services (Azure Active Directory, Azure Functions, Azure Service Bus, Azure App Services, Azure Storage, Azure SQL, Azure Cosmos DB, etc.) and the implementation practices.<br><br>Backend Development<br><br>Experience in backend API development using C#. In-depth knowledge of RESTful and Graph QL web services.<br><br>Frontend Development<br><br>Experience on frontend SPA development using Angular.<br><br>Dev Ops & Cloud Technologies<br><br>Hands on experience with CI/CD tooling, including platforms such as Azure Dev Ops and Git Hub. Experience using infrastructure-as-code tools such as Bicep or Terraform. Knowledge and experience in the implementation and maintenance of cloud solutions using Azure Dev Ops and other cloud technologies (e.g. Microsoft Azure Data Factory, Data Bricks) and building reporting capabilities is preferred.<br><br>Database & Architecture<br><br>Extensive experience in writing efficient SQL and relevant experience with database design. Understanding of microservices architecture. Understanding of microfrontend is preferred.<br><br>Trading & Industry Knowledge<br><br>Good understanding of straight-through-processing (STP) requirements and FIX protocol is preferred. Experience working with any CTRM/ETRM system is preferred.<br><br>Additional Technical Skills<br><br>Ability to perform full SDLC activities using Agile methods, including requirement definition, prototyping, proof of concept, design, implementation, testing and maintenance. Proficiency in Python is a plus.<br><br>Personal & Communication Skills<br><br>Excellent written and verbal communications skills. Self-reliance and self-sufficiency; willingness to help build a business from the ground upwards in a phased manner but with quick short-term solutions essential for success. Strong delivery focus is critical.
Qatar - Doha
Primary Skills<br><br> JOB DESCRIPTION <br><br> OCI Infrastructure Oracle Integration Cloud OCI Kubernetes Engine OCI Dev Ops CI/CD Automation Cloud Security<br><br>Secondary/ Support Skills<br><br> MLOps awareness Python scripting Bash scripting API integration Monitoring support Release coordination<br><br>Tools & Platforms<br><br> OCI Compute VCN / Fast Connect Object / Block / File Storage Cloud Guard Security Zones Docker / Kubernetes<br><br>Responsibilities<br><br> OCI Infrastructure & Platform Management: Manage OCI Compute, Networking, Storage, IAM, Security Zones, Cloud Guard and environment reliability. Application Hosting & Kubernetes: Deploy, operate and support containerised workloads and microservices using OCI Kubernetes Engine. Enterprise Integration: Develop and support integrations through Oracle Integration Cloud across Oracle Fusion, on-premises systems and third-party APIs. Dev Ops & Automation: Design and maintain CI/CD pipelines using OCI Dev Ops and automate build, test, release and deployment activities. Security & Governance: Apply cloud security best practices, IAM controls, monitoring, logging and compliance-aligned operational practices. Monitoring & Performance: Implement observability, logging and alerting and support proactive performance tuning and capacity management. Operational Support: Provide L2/L3 support, production troubleshooting, change implementation, release management and documentation updates.<br><br>Qualifications<br><br> Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related technical field. Minimum 6 years of experience in software engineering, cloud operations, Dev Ops or enterprise integration. Hands-on experience with Oracle Cloud Infrastructure and related cloud-native services. Strong working knowledge of OKE, OIC, OCI Dev Ops, networking, storage and platform monitoring. Experience with production support, incident management, release management and documentation practices. OCI Professional certifications such as OCI Dev Ops Professional or OCI Architect Professional are preferred.<br><br>About Malomatia<br><br> ABOUT US <br><br>malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.<br><br>Our mission<br><br>Empowering Qatar’s businesses and governments to leap into the digital future with agile, knowledge-driven solutions.<br><br>Our vision<br><br>To become Qatar’s trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.<br><br>Driving change that makes a real impact<br><br>Since 2008, malomatia has been driving Qatar’s digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation’s vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar’s sustainable future.<br><br>About The Team<br><br>Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.<br><br>Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.<br><br>Join us in shaping the future of technology in Qatar
Qatar - Doha
Engagement details:Job Title: Cards Analytics Specialist Client: Global Cards & Payments Firm End-client: Leading Bank Employment type: Initial 12-month contract with strong potential for extension Location: Onsite in Doha, Qatar Experience level: 7+ years<br>Role Overview:Our client, a Global Cards & Payments firm, is engaged with a leading bank in Qatar and is seeking to onboard a Cards Analytics Specialist to strengthen data-driven decision-making across the cards lifecycle, spanning acquisition, activation, spend growth, retention, and profitability. <br>The role is focused on embedding dedicated analytical expertise within the Cards Product and Portfolio teams to enhance portfolio performance, support strategic initiatives, and drive sustainable commercial outcomes through actionable insights.<br>Key Responsibilities:Portfolio performance reporting & monitoring (~35%)-Build, maintain, and deliver recurring and ad-hoc performance dashboards covering acquisition, activation, spend, ENR (Earning Net Revenue), delinquency, attrition, and profitability metrics across the card portfolio. Portfolio diagnostics & segmentation analysis (~25%)-Conduct deep-dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities. Campaign measurement & effectiveness analysis (~20%)-Design and execute pre/post campaign analytics including control-group methodology, ROI calculation, and response-rate analysis to measure and optimise marketing and engagement campaigns. Data-driven decision support (~15%)-Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses that inform strategic and tactical decisions. Data quality & automation (~5%)-Identify opportunities to improve data integrity, automate recurring reports, and enhance self-serve analytics capabilities for business users. Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight-rich output that enables the Cards leadership team to track KPIs against targets and take corrective action. Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle (acquisition → activation → usage → retention → attrition), identifying underperforming segments and recommending targeted interventions Design and execute campaign measurement frameworks-including A/B testing structures, control groups, uplift calculations, and ROI analysis-to quantify the impact of card marketing campaigns and provide actionable post-campaign recommendations. Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self-serve on key portfolio metrics, reducing ad-hoc request volume and improving decision speed.<br>Knowledge and Experience7+ years in cards/portfolio analytics or BI within banking, payments, or fintech Strong SQL, advanced Excel (pivot tables, VLOOKUP/INDEX-MATCH, data modelling, macros) and Tableau/Power BI skills required. Solid understanding of cards portfolio metrics and P&L (acquisition to profitability, interchange, fees, provisions) Exposure to retail banking, lending, or credit risk analytics Experience in campaign analytics (segmentation, uplift, ROI) Familiarity with card scheme reporting and benchmarking tools Strong knowledge of Python/R or SASExposure to CRM tools and card/core banking systems Collaborative approach across Product, Marketing, Risk, and Finance Certified Analytics Professional (CAP) & core banking / card management systems (CMS) exposure preferred.
Qatar - Doha
Engagement details:Job Title: Cards Analytics Specialist Client: Global Cards & Payments Firm End-client: Leading Bank Employment type: Initial 12-month contract with strong potential for extension Location: Onsite in Doha, Qatar Experience level: 7+ years<br>Role Overview:Our client, a Global Cards & Payments firm, is engaged with a leading bank in Qatar and is seeking to onboard a Cards Analytics Specialist to strengthen data-driven decision-making across the cards lifecycle, spanning acquisition, activation, spend growth, retention, and profitability. <br>The role is focused on embedding dedicated analytical expertise within the Cards Product and Portfolio teams to enhance portfolio performance, support strategic initiatives, and drive sustainable commercial outcomes through actionable insights.<br>Key Responsibilities:Portfolio performance reporting & monitoring (~35%)-Build, maintain, and deliver recurring and ad-hoc performance dashboards covering acquisition, activation, spend, ENR (Earning Net Revenue), delinquency, attrition, and profitability metrics across the card portfolio. Portfolio diagnostics & segmentation analysis (~25%)-Conduct deep-dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities. Campaign measurement & effectiveness analysis (~20%)-Design and execute pre/post campaign analytics including control-group methodology, ROI calculation, and response-rate analysis to measure and optimise marketing and engagement campaigns. Data-driven decision support (~15%)-Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses that inform strategic and tactical decisions. Data quality & automation (~5%)-Identify opportunities to improve data integrity, automate recurring reports, and enhance self-serve analytics capabilities for business users. Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight-rich output that enables the Cards leadership team to track KPIs against targets and take corrective action. Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle (acquisition → activation → usage → retention → attrition), identifying underperforming segments and recommending targeted interventions Design and execute campaign measurement frameworks-including A/B testing structures, control groups, uplift calculations, and ROI analysis-to quantify the impact of card marketing campaigns and provide actionable post-campaign recommendations. Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self-serve on key portfolio metrics, reducing ad-hoc request volume and improving decision speed.<br>Knowledge and Experience7+ years in cards/portfolio analytics or BI within banking, payments, or fintech Strong SQL, advanced Excel (pivot tables, VLOOKUP/INDEX-MATCH, data modelling, macros) and Tableau/Power BI skills required. Solid understanding of cards portfolio metrics and P&L (acquisition to profitability, interchange, fees, provisions) Exposure to retail banking, lending, or credit risk analytics Experience in campaign analytics (segmentation, uplift, ROI) Familiarity with card scheme reporting and benchmarking tools Strong knowledge of Python/R or SASExposure to CRM tools and card/core banking systems Collaborative approach across Product, Marketing, Risk, and Finance Certified Analytics Professional (CAP) & core banking / card management systems (CMS) exposure preferred.
Qatar - Doha
Engagement details:Job Title: Cards Analytics Specialist Client: Global Cards & Payments Firm End-client: Leading Bank Employment type: Initial 12-month contract with strong potential for extension Location: Onsite in Doha, Qatar Experience level: 7+ years<br>Role Overview:Our client, a Global Cards & Payments firm, is engaged with a leading bank in Qatar and is seeking to onboard a Cards Analytics Specialist to strengthen data-driven decision-making across the cards lifecycle, spanning acquisition, activation, spend growth, retention, and profitability. <br>The role is focused on embedding dedicated analytical expertise within the Cards Product and Portfolio teams to enhance portfolio performance, support strategic initiatives, and drive sustainable commercial outcomes through actionable insights.<br>Key Responsibilities:Portfolio performance reporting & monitoring (~35%)-Build, maintain, and deliver recurring and ad-hoc performance dashboards covering acquisition, activation, spend, ENR (Earning Net Revenue), delinquency, attrition, and profitability metrics across the card portfolio. Portfolio diagnostics & segmentation analysis (~25%)-Conduct deep-dive analyses on portfolio segments (by product, channel, customer cohort, vintage) to identify performance drivers, risks, and growth opportunities. Campaign measurement & effectiveness analysis (~20%)-Design and execute pre/post campaign analytics including control-group methodology, ROI calculation, and response-rate analysis to measure and optimise marketing and engagement campaigns. Data-driven decision support (~15%)-Provide structured analytical support to Cards Product, Portfolio, Marketing, and Risk teams through insight packs, business cases, and scenario analyses that inform strategic and tactical decisions. Data quality & automation (~5%)-Identify opportunities to improve data integrity, automate recurring reports, and enhance self-serve analytics capabilities for business users. Own and deliver the recurring cards portfolio performance reporting suite (daily/weekly/monthly), ensuring timely, accurate, and insight-rich output that enables the Cards leadership team to track KPIs against targets and take corrective action. Diagnose portfolio health by conducting segmentation, cohort, vintage, and trend analyses across the card lifecycle (acquisition → activation → usage → retention → attrition), identifying underperforming segments and recommending targeted interventions Design and execute campaign measurement frameworks-including A/B testing structures, control groups, uplift calculations, and ROI analysis-to quantify the impact of card marketing campaigns and provide actionable post-campaign recommendations. Develop and maintain interactive dashboards and visualisations (Tableau / Power BI) that enable stakeholders to self-serve on key portfolio metrics, reducing ad-hoc request volume and improving decision speed.<br>Knowledge and Experience7+ years in cards/portfolio analytics or BI within banking, payments, or fintech Strong SQL, advanced Excel (pivot tables, VLOOKUP/INDEX-MATCH, data modelling, macros) and Tableau/Power BI skills required. Solid understanding of cards portfolio metrics and P&L (acquisition to profitability, interchange, fees, provisions) Exposure to retail banking, lending, or credit risk analytics Experience in campaign analytics (segmentation, uplift, ROI) Familiarity with card scheme reporting and benchmarking tools Strong knowledge of Python/R or SASExposure to CRM tools and card/core banking systems Collaborative approach across Product, Marketing, Risk, and Finance Certified Analytics Professional (CAP) & core banking / card management systems (CMS) exposure preferred.
Qatar - Doha
AI/ML Engineer (Mid, Senior, Lead) Location | Doha, Qatar (Hybrid) Comp | $200k-$250k + Equity + Package Focus | Real-World AI Deployment Across Enterprise & Operational Environments, AI Systems, LLM Applications & Agentic Workflows<br>We’re working with a frontier AI company that builds and deploys AI systems for the world’s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research’s sake. This is applied AI, deployed in the real world.<br>They are backed by some of the world’s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they’re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.<br>The Role As an AI/ML Engineer, you’ll turn state-of-the-art models into production-grade systems that power national-scale change. You’ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.<br>You’ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.<br>What You’ll DoBuild and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure. Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems. Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions. Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling. Stay ahead of the curve: explore the latest Gen AI, LLM, and reasoning research to push models from theory to practice.<br>You’ll Thrive Here If You…Have hands-on experience building Gen AI or LLM-based applications (agents, RAG, reasoning models). Know your way around Python, PyTorch, JAX, or Tensor Flow, with strong software engineering fundamentals. Can work across data pipelines, APIs, and production deployments with speed and precision. Enjoy autonomy, creative problem-solving, and owning solutions end-to-end. Want your work to matter to see it deployed across industries, governments, and communities.<br>Why Join Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide. Elite peers: collaborate with engineers and researchers from tier-1 places. Move fast, own outcomes: you’ll ship code in weeks, not quarters. Meaningful rewards: competitive comp, equity, and ownership tied to real impact. Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.<br>If you want to build AI that doesn’t just predict but powers economies, saves lives, and redefines what’s possible , this is where you do it.<br>Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
Qatar - Doha
AI/ML Engineer (Mid, Senior, Lead) Location | Doha, Qatar (Hybrid) Comp | $200k-$250k + Equity + Package Focus | Real-World AI Deployment Across Enterprise & Operational Environments, AI Systems, LLM Applications & Agentic Workflows<br>We’re working with a frontier AI company that builds and deploys AI systems for the world’s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research’s sake. This is applied AI, deployed in the real world.<br>They are backed by some of the world’s most respected founders and AI pioneers, and built a 70+ person team from tier-1 companies. Now, they’re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.<br>The Role As an AI/ML Engineer, you’ll turn state-of-the-art models into production-grade systems that power national-scale change. You’ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.<br>You’ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.<br>What You’ll DoBuild and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure. Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems. Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions. Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling. Stay ahead of the curve: explore the latest Gen AI, LLM, and reasoning research to push models from theory to practice.<br>You’ll Thrive Here If You…Have hands-on experience building Gen AI or LLM-based applications (agents, RAG, reasoning models). Know your way around Python, PyTorch, JAX, or Tensor Flow, with strong software engineering fundamentals. Can work across data pipelines, APIs, and production deployments with speed and precision. Enjoy autonomy, creative problem-solving, and owning solutions end-to-end. Want your work to matter to see it deployed across industries, governments, and communities.<br>Why Join Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide. Elite peers: collaborate with engineers and researchers from tier-1 places. Move fast, own outcomes: you’ll ship code in weeks, not quarters. Meaningful rewards: competitive comp, equity, and ownership tied to real impact. Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.<br>If you want to build AI that doesn’t just predict but powers economies, saves lives, and redefines what’s possible , this is where you do it.<br>Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
Qatar - Qatar
<p>Role Overview As a Senior Software Engineer, AI Ops at Scale AI, you will own the long-term technical health, performance, and stability of AI solutions deployed across our strategic public sector partners. While our Delivery Teams build and launch new use cases, you are the technical steward ensuring these deployments operate with Operational Excellence. You will bridge software engineering, MLOps, and client governance, managing tiered SLAs, tracking model drift, and executing maintenance protocols that protect both system integrity and operational margins. Key Responsibilities Handover Gate & Onboarding: Act as the technical gatekeeper during the formal transition from Delivery to Maintenance. Conduct deep-dive reviews to ensure baseline code, prompts, and architecture meet strict maintainability and documentation standards before sign-off. Tiered SLA & Incident Management: Own technical response and resolution targets across multi-tiered service models (from Business-Hours Essential to 24/7 Mission-Critical). Lead Incident Governance, Root Cause Analysis (RCA), and P1/P2 mitigations within strict active support windows. AI Lifecycle Governance: Monitor production model performance, latency, and data drift. Manage prompt configuration repositories to maintain behavioral consistency and perform regression testing when LLM providers update underlying endpoints. Request Classification & Technical Scope: Operationalize the boundary between Routine Maintenance (In-Scope) and System Evolution (Out-of-Scope). Assess incoming client requests and run comparative benchmarking on new AI models. Automation & Reliability Engineering: Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream "Delivery" teams to adopt architectural patterns that simplify ongoing maintenance. Client Technical Interface: Serve as the senior technical point of contact for government and enterprise IT leads. Translate technical AI concepts (data drift, prompt versioning, API deprecation) into clear business impacts for non-technical stakeholders.</p><p><strong>Desired Candidate Profile</strong></p><p>Ideally you'd have Background: 5+ years in Software Engineering, MLOps, SRE, or Forward Deployed Engineering in heavy data or production AI environments. Technical Stack: Advanced proficiency in Python, SQL, REST/gRPC APIs, and cloud architecture (AWS, Azure, or GCP). Hands-on experience with MLOps tooling, vector databases, and LLM orchestration frameworks (e.g., LangChain, LlamaIndex). AI Governance Expertise: Practical understanding of prompt version control, model benchmarking against evaluation datasets, RAG pipeline mechanics, and data drift detection. Engineering Mindset: A drive to build systematic, automated fixes rather than applying temporary patches. Strong grasp of CI/CD for machine learning pipelines. Client Acumen & Boundary Control: Strong technical communication skills with the ability to manage client expectations, defend operational boundaries (Maintenance vs. Evolution), and advise on long-term system roadmaps.</p>