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<div>
 
 Job Title:
 
 Senior Data &amp; AI Consultant
 
 
 (Senior Manager / Manager)
 
 
 
 
 
 
 
 
 About the Company &amp; the Role
 
 
 
 
 
 
 
 Our client is a leading
 
 Global Business Consulting firm
 
 with presence in many countries and domains. We are seeking a
 
 Senior Data &amp; AI Consultant
 
 (Manager/Sr. Manager Level) with 8&ndash;12 years ideally with
 
 Big 4 or top-tier consulting experience
 
 , with deep experience in
 
 Data Governance, Data Engineering, and AI/ML Engineering
 
 , with
 
 Microsoft Azure as a mandatory skillset
 
 .
 
 
 
 
 
 This is a
 
 client-facing consulting role
 
 requiring strong technical expertise, strategic advisory capabilities, and leadership presence. You will lead enterprise-level Data &amp; AI transformation programs across GCC markets.
 
 
 
 
 
 Location: The role is based in
 
 Doha, Qatar
 
 with travel across GCC (UAE, KSA) as required.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop enterprise-wide
 
 Data &amp; AI strategies
 
 aligned with business priorities.
 </li>
 <li>
 Assess organizational maturity and design end-to-end transformation roadmaps.
 </li>
 <li>
 Advise on data lifecycle management and
 
 Responsible AI
 
 frameworks.
 </li>
 <li>
 Conduct CXO-level workshops and stakeholder alignment sessions.
 </li>
 </ul>
 
 
 2. Data Architecture &amp; Engineering (Azure-Focused)
 
 
 <ul>
 <li>
 Architect modern data platforms on
 
 Microsoft Azure
 
 with scalability, security, and compliance.
 </li>
 <li>
 Design conceptual/logical/physical data models for operational and analytical workloads.
 </li>
 <li>
 Build batch and real-time data pipelines using
 
 Azure Data Factory, Synapse, Databricks
 
 , etc.
 </li>
 <li>
 Implement governance frameworks including
 
 data quality, metadata, lineage
 
 (Azure Purview).
 </li>
 <li>
 Collaborate with AI teams to ensure robust data readiness for ML workloads.
 </li>
 </ul>
 
 
 3. AI, Machine Learning &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead full lifecycle AI/ML solution design and deployment.
 </li>
 <li>
 Build and operationalize ML &amp; Generative AI use cases using Azure ML, OpenAI, Cognitive Services.
 </li>
 <li>
 Implement
 
 MLOps
 
 for CI/CD, monitoring, and model lifecycle governance.
 </li>
 <li>
 Embed Responsible AI principles &mdash; fairness, explainability, transparency.
 </li>
 <li>
 Build end-to-end data-to-model pipelines in collaboration with engineering teams.
 </li>
 </ul>
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales engagements.
 </li>
 <li>
 Support proposals, solution demos, and value-based use case design.
 </li>
 <li>
 Contribute to thought leadership via whitepapers, blogs, and speaking engagements.
 </li>
 <li>
 Mentor junior team members and cultivate a culture of excellence.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Engineering, AI, Information Systems, or related fields.
 </li>
 <li>
 
 8&ndash;12 years
 
 in Data &amp; AI consulting, architecture, or strategy roles ideally with
 
 Big 4 or top-tier consulting
 
 experience.
 </li>
 <li>
 Strong working knowledge of
 
 Azure ecosystem
 
 (mandatory); familiarity with AWS/GCP is a plus.
 </li>
 <li>
 Experience across industries: Public Sector, FS, Oil &amp; Gas, Government, Healthcare, Utilities.
 </li>
 </ul>
 
 
 
 
 
 
 Technical Expertise
 
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake/Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 SQL, Python, Spark.
 </li>
 <li>
 Data modeling (conceptual/logical/physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with Microsoft Fabric and open-source tools (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of
 
 DAMA-DMBOK, CMMI-DMM
 
 or similar frameworks.
 </li>
 <li>
 Experience with Informatica Governance Suite (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy, data sovereignty, and GCC regulatory expectations.
 </li>
 <li>
 Ability to define governance operating models and stewardship frameworks.
 </li>
 </ul>
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 (LLMs, RAG, prompt engineering).
 </li>
 <li>
 Strong knowledge of
 
 MLOps
 
 and automated model lifecycle management.
 </li>
 <li>
 Experience in 3+ domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Exceptional client-facing communication and stakeholder management.
 </li>
 <li>
 Ability to translate complex technical concepts into business value.
 </li>
 <li>
 Experience in pre-sales, proposals, and workshops.
 </li>
 <li>
 Strong leadership, mentoring, and delivery management capabilities.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Microsoft Certified
 </li>
 <li>
 Azure Data Engineer Associate
 </li>
 <li>
 Azure AI Engineer Associate
 </li>
 <li>
 Azure Solutions Architect
 </li>
 <li>
 DAMA CDMP or equivalent certification
 </li>
 </ul>
 
 
</div>

Senior Data Consultant

Protiviti Middle East Member Firm

<div>
 
 
 Overview:
 
 
 
 We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 
 
 
 
 
 The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
 
 
 
 
 This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop and implement enterprise-wide data and AI strategies aligned with business goals.
 </li>
 <li>
 Assess organizational data &amp; AI maturity and define transformation roadmaps.
 </li>
 <li>
 Advise clients on data lifecycle management, and responsible AI adoption.
 </li>
 <li>
 Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
 </li>
 </ul>
 
 
 
 
 
 2. Data Architecture &amp; Engineering
 
 
 <ul>
 <li>
 Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
 </li>
 <li>
 Develop conceptual, logical, and physical data models for operational and analytical use cases.
 </li>
 <li>
 Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
 </li>
 <li>
 Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
 </li>
 <li>
 Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
 </li>
 </ul>
 
 
 
 
 
 3. AI &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
 </li>
 <li>
 Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
 </li>
 <li>
 Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
 </li>
 <li>
 Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
 </li>
 <li>
 Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
 </li>
 </ul>
 
 
 
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
 </li>
 <li>
 Support proposal development, client demos, and design of value-driven use cases.
 </li>
 <li>
 Contribute to thought leadership through whitepapers, blogs, and conference presentations.
 </li>
 <li>
 Mentor junior consultants and foster a culture of learning and innovation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 
 
 5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 
 
 Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 
 
 Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 
 
 
 
 
 
 Technical Expertise (Candidates should have expertise in one or more domains)
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 Proficiency in SQL, Python, and Spark.
 </li>
 <li>
 Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
 </li>
 <li>
 Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy and sovereignty laws.
 </li>
 <li>
 Ability to define data governance operating models and stewardship structures.
 </li>
 </ul>
 
 
 
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
 </li>
 <li>
 Strong understanding of MLOps pipelines and model lifecycle automation.
 </li>
 <li>
 Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 
 
 
 
 Strong client-facing communication and stakeholder management.
 
 
 Ability to translate technical insights into business outcomes.
 
 
 Experience in pre-sales engagements, proposals, and workshops.
 
 
 Leadership in mentoring teams and driving delivery excellence.
 
 
 
 
 
 
 Certifications (Preferred)
 
 
 
 Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 
 
 DAMA Certified Data Management Professional (CDMP) or equivalent.
 
 
 
 
 
 
 Location &amp; Travel
 
 
 
 Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 
</div>

Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

Super Micro Computer, Inc.

<div><div>Technology Enablement and AI Engineer<div> 
</div></div>Date: Nov 25, 2025
Location: Qatar - Doha
Company: Super Micro Computer
<div><div><div><div><div>Job Req ID: 28056</div>
</div></div><div></div><div><div><div>About Supermicro:</div>
</div><div><div>
Supermicro&reg; is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are amongst the fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer many new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us to drive accelerated growth and technology-led innovation in the global marketplace.</div>
</div></div><div><div><div>
Job Summary:</div>
</div><div><div>
We are seeking a highly skilled AI Engineer who lives and breathes new technology. This role is for someone who not only builds AI models but understands the full lifecycle of an AI system&mdash;from concept to deployment&mdash;and knows how to optimize it on cutting-edge hardware. You will be responsible for designing, developing, and deploying high-performance AI solutions that leverage Supermicro's state-of-the-art server and cluster technologies. The ideal candidate is passionate about the &quot;newest trends in AI applications&quot;, and is driven to find the most efficient ways to run them at scale.</div></div></div><div><div><div>
Essential Duties and Responsibilities:</div>
</div><div><ul><li>Design, build, and maintain scalable, production-grade AI systems, managing the complete MLOps lifecycle (data ingestion, preprocessing, training, validation, deployment, and monitoring).</li>
<li>Profile, benchmark, and optimize AI/ML workloads (both training and inference) to extract maximum performance from Supermicro's advanced hardware platforms. By optimizing AI applications to run faster and more efficiently on Supermicro hardware, you directly contribute to sales and prove our technical leadership.</li>
<li>Actively research and implement the latest AI trends, models, and frameworks (e.g., LLMs, diffusion models, new training techniques) to ensure our solutions remain best-in-class.</li>
<li>Enable Customers: You will help build the &quot;recipes&quot; that allow our customers to successfully deploy their own AI solutions on our platforms.</li>
</ul></div></div><div><div><div>Qualifications:</div>
</div><div><ul><li>Proven experience (2+ years) as an AI Engineer, Machine Learning Engineer, or similar.</li>
<li>Expertise in Python and deep proficiency with modern AI frameworks (e.g., PyTorch, TensorFlow, JAX).</li>
<li>Experience with the MLOps lifecycle, including tools like Kubernetes, Docker, Kubeflow, or similar.</li>
<li>Understanding of NVIDIA GPUs and the CUDA ecosystem. Experience with performance profiling tools (e.g., Nsight, TensorRT) is critical.</li>
<li>Hands-on experience with Large Language Models (LLMs), including fine-tuning and efficient inference.</li>
<li>A genuine curiosity and passion for new technology, with a proactive drive to learn and experiment.</li>
</ul></div></div><div><div><div>EEO Statement</div>
</div><div><div>
Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.</div></div></div></div></div></div>

Technology Enablement and AI Engineer

Ooredoo Group of Companies

<div>About Us: 
Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world-class communications services in Qatar, and it is a team that you can be part of!
About the Business Unit: 
The Technology Unit within Ooredoo is the backbone of the organization providing all technology services which enable Ooredoo to deliver its services to its customers across all technology platforms, 24/7/365. In other words, it's responsible for the management of all Ooredoo networks, technology infrastructure/ platforms and processes to achieve fast time-to-market, high operational efficiency, and support product/ service innovation, and ultimately drive the financial performance of Ooredoo. The department supports this through the effective management, operation and maintenance including new products and change requests for all BSS &amp; OSS applications and platforms, working to further connect and integrate BSS with OSS in the new IT architecture and ensuring Ooredoo customers have full use of all services 24/7.
About the Role: 
The role is responsible for the technical leadership, architecture, and delivery of all AI-related initiatives, with a particular emphasis on agentic AI systems, multi-cloud platform deployments, and automated evaluation and tuning of AI solutions. Ensures the adoption of state-of-the-art AI/ML, generative AI, and agentic AI technologies, and drives the company's Technical AI strategy and roadmap. Will own and architect scalable, distributed AI solutions, guide teams on advanced AI frameworks, and ensure alignment with business objectives and industry standards. For more details, please click here.
About You:<ul><li> 
10 years' experience in a similar role.
</li><li>Minimum 5 years of hands-on experience in AI/ML, generative AI, and agentic AI, data management, preferably in the telco or related domains Experience in Telecom or IT.
</li><li>Proven experience designing and deploying scalable agentic AI architectures in distributed and multi-cloud environments (GCP, Azure, AWS, hybrid).
</li><li>Practical experience with advanced AI systems (Agent Space, Copilot, etc.), frameworks (ADK, Lang Chain, Graph Chain, Ray, MLflow, Hugging Face, OpenAI, etc.) and MCP protocol
</li><li>Demonstrated experience with automated evaluation and tuning of AI systems Strong coding skills in Python (and optionally other languages such as R, Java, or Scala). Practical knowledge of MLOps/DevOps, CI/CD for AI, and model/agent lifecycle management. Experience with data engineering, data governance, and integrating AI with enterprise and network systems.</li></ul></div>

Senior Specialist AI

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality.
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience.
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team.
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment.
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Oscar

<div>
 
 
 Role: AI Security Engineer
 
 
 
 
 Location: Doha, Qatar
 
 
 
 
 Salary: Negotiable (Tax Free) + Relocation Allowance
 
 
 
 
 
 
 
 Summary:
 
 
 
 
 
 
 Oscar Technology has partnered with a leading consultancy firm to recruit a specialist for an exciting two-year project based in Qatar. The successful candidate will play a key role in ensuring the security posture of the firm. A relocation package is available and can be negotiated.
 
 
 
 
 
 We need a technically focused AI Security Engineer with 5 years' hands‑on experience securing machine learning systems, LLM deployments, and data pipelines in enterprise environments. Deep expertise in adversarial ML, secure MLOps, model integrity, and privacy-preserving techniques. Proven record of designing production-safe inference services, automating adversarial testing, and reducing model exposure and data leakage risk.
 
 
 
 
 
 This is an excellent opportunity for someone looking to advance their career with a major Qatari firm while enjoying tax-free earnings. Salary is dependant on experience and negotiable.
 
 
 
 
 
 
 Technical expertise we are looking for:
 
 
 
 
 
 
 
 AI &amp; Automation:
 
 
 
 
 
 <ul>
 <li>
 Workflow Automation (Make.com, Zapier, n8n, MS Power Automate)
 </li>
 <li>
 AI Agents &amp; Chatbots (OpenAI, LangChain, Rasa, Dialogflow)
 </li>
 <li>
 Business Process Automation (RPA, API-Integration, SaaS Workflows)
 </li>
 <li>
 Generative AI &amp; LLMs (GPT, Prompt Engineering, Agentic Workflows)
 </li>
 </ul>
 
 
 
 
 
 Technologies &amp; Tools:
 
 
 
 
 
 <ul>
 <li>
 OpenAI API, LangChain, n8n, Make.com, Zapier
 </li>
 <li>
 MS Power Platform, Power Automate, SharePoint
 </li>
 <li>
 Docker, SQL, REST APIs, Postman, GitHub
 </li>
 <li>
 Confluence, JIRA, MS Project, Trello, Asana
 </li>
 </ul>
 
 
 
 
 
 Programming &amp; Test Automation:
 
 
 
 
 
 <ul>
 <li>
 Python, Java, C#, C/C++
 </li>
 <li>
 Test Automation (Pytest, Robot Framework, Playwright, Selenium)
 </li>
 <li>
 QA &amp; Test Management (Azure DevOps, CI/CD, Test Strategies)
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Azure (AI, Automation, Data Services)
 </li>
 <li>
 Amazon Web Services (AWS AI, Lambda, EC2)
 </li>
 <li>
 Cloud Integrations &amp; Deployment
 </li>
 <li>
 Consulting &amp; Project Management
 </li>
 <li>
 IT Project Management (Agile, Scrum, Kanban)
 </li>
 <li>
 Process Optimization &amp; Digital Transformation in SMEs
 </li>
 <li>
 Workshops, Trainings &amp; Coaching for AI Automation
 </li>
 <li>
 Stakeholder Management &amp; Change Management
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Intercultural Collaboration
 </li>
 <li>
 Structured &amp; Solution-Oriented Approach to Work
 </li>
 </ul>
 
 
 
 
 
 What you will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Model Security &amp; Hardening: adversarial training, gradient masking, model watermarking, integrity verification
 </li>
 <li>
 Privacy &amp; Data Protection: differential privacy, secure aggregation, federated learning, synthetic data
 </li>
 <li>
 MLOps &amp; Infrastructure: Kubernetes, Docker, MLflow, CI/CD for ML, Terraform, Vault
 </li>
 <li>
 Secure Deployment: encrypted inference, API gateway hardening, rate limiting, runtime monitors
 </li>
 <li>
 Threat Modeling &amp; Testing: ATT&amp;CK for ML mapping, red-team adversarial scenarios, prompt-injection testing
 </li>
 <li>
 Languages &amp; Frameworks: Python, Bash, Go, PyTorch, TensorFlow, Hugging Face Transformers, ONNX
 </li>
 <li>
 Cloud &amp; DevSecOps: AWS (SageMaker, ECR, IAM), Azure ML, GCP Vertex AI, GitHub Actions
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana, ELK Stack, model drift detection
 </li>
 </ul>
 
 
</div>

AI Security Engineer

<div>
 
 
 Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
 
 
 
 
 
 
 We are seeking an experienced Data Scientist / AI Engineer (4+ years overall experience) (Bilingual &ndash; Arabic &amp; English proficient) with deep hands-on expertise in designing and deploying Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) solutions on Microsoft Azure.
 
 
 
 
 
 The ideal candidate will have prior experience developing Chat-with-Documents or internal enterprise LLM based assistants using Azure OpenAI Service, Cognitive Search, and Azure Machine Learning, ideally within regulated or enterprise environments.
 
 
 
 
 
 The role involves building and optimizing GenAI-powered internal chatbots that enable employees to query organizational documents, policies, and knowledge bases through natural language queries.
 
 
 
 
 
 This position is based in Doha, with occasional travel to other Middle East client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
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 Design and implement GenAI and RAG-based chatbots using Azure OpenAI, Cognitive Search, and Azure ML.
 </li>
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 Build document ingestion, embedding, and retrieval pipelines for enterprise knowledge sources.
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 Prepare and process multilingual (English&ndash;Arabic) data ensuring quality and semantic accuracy.
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 Deploy and manage AI solutions.
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 Evaluate model accuracy, latency, and hallucination rates with ongoing monitoring.
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 Ensure compliance with Responsible AI and data privacy frameworks.
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 Collaborate with business and IT teams to align solutions with real use cases.
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 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
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 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
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 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
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 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
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 4+ years of experience in AI/ML, with a strong consulting background
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 Proven experience of implementing at least one LLM based solution
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 Must have worked on at least one of the the following use cases types &ndash; Predictive Modeling &amp; Classification , Simulation &amp; Optimization , Recommender Systems , Time Series Forecasting
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 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
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 Must be bilingual (Arabic and English language proficiency)
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 </ul>
 
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Strong programming skills in Python, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
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 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 </ul>
 
 
 
 
 
 Preferred Industry Experience
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Financial Services (Preferred) , Oil &amp; Gas , Manufacturing, Government/Citizen Services , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist / AI Engineer - Consultant to Senior Consultant (Arabic Speaker)

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