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<div>
 <strong>
  Job Reference #
  <br/>
 </strong>
 327972BR
 <br/>
 <br/>
 <strong>
  Job Type
  <br/>
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Your role
  <br/>
 </strong>
 Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?
 <br/>
 <br/>
 At UBS, we re-imagine the way we work, the way we connect with each other &ndash; our colleagues, clients and partners &ndash; and the way we deliver value.
 <br/>
 <br/>
 As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.
 <br/>
 <br/>
 We&rsquo;re looking for an AI Business Engineer to:
 <br/>
 <br/>
 <ul>
  <li>
   work with the crew to AI solution design and development to address business challenges.
  </li>
  <li>
   collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI.
  </li>
  <li>
   transform data into valuable insights that inform business decisions, making use of our internal.
   <br/>
   <br/>
  </li>
 </ul>
 data platforms and applying appropriate analytical techniques.
 <br/>
 <br/>
 <ul>
  <li>
   partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.
   <br/>
   <br/>
  </li>
 </ul>
 manual processes, and solve challenging business problems.
 <br/>
 <br/>
 <ul>
  <li>
   ensure the quality, security, reliability, and compliance of our solutions by applying our digital.
   <br/>
   <br/>
  </li>
 </ul>
 principles and implementing both functional and non-functional requirements.
 <br/>
 <br/>
 <ul>
  <li>
   understand, represent, and advocate for client needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your team
  <br/>
 </strong>
 In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You&rsquo;ll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.
 <br/>
 <br/>
 <strong>
  Your expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   working in agile environments with understanding of agile delivery frameworks and DevOps environments.
  </li>
  <li>
   background in data science, machine learning engineering, or applied research is a significant plus.
  </li>
  <li>
   understanding and ability to apply AI engineering techniques.
  </li>
  <li>
   ability to break down complex problems, analyze data, and develop innovative solutions.
  </li>
  <li>
   flexibility to learn new technologies, frameworks, and methodologies as the field evolves.
  </li>
  <li>
   strong communicator, from making presentations to technical writing.
  </li>
  <li>
   willingness to experiment and think outside the box to push boundaries in AI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
 </strong>
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
 <br/>
 <br/>
 We have a presence in all major financial centers in more than 50 countries.
 <br/>
 <br/>
 <strong>
  How We Hire
  <br/>
  <br/>
 </strong>
 We may request you to complete one or more assessments during the application process. Learn more
 <br/>
 <br/>
 <strong>
  Join us
  <br/>
 </strong>
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 <br/>
 <br/>
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 <br/>
 <br/>
 <strong>
  Disclaimer / Policy Statements
  <br/>
 </strong>
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>


AI Business Engineer

<div><div><div><div>Qatar</div>
</div><div><div>Information Technology (IT)
</div></div><div><div>Group Functions
</div></div><div><p><b>Job Reference #</b></p>
<div>327972BR</div>
</div><div><p><b>City</b></p>
<div>Doha</div>
</div><div><p><b>Job Type</b></p>
<div>Full Time
</div></div><div><p><b>Your role</b></p>
<div>Are you an analytic thinker? Do you enjoy creating valuable insights with data? Do you want to play a key role in transforming our firm into an agile and digital organization?
<br>
<br>
At UBS, we re-imagine the way we work, the way we connect with each other &ndash; our colleagues, clients and partners &ndash; and the way we deliver value.<br>
<br>
As an AI Business Engineer, you will help design, develop, and deploy AI solutions that enhance operational efficiency, improve user experience, and drive innovation. This role involves close collaboration with cross-functional teams to ensure seamless AI implementation and maintenance.<br>
<br>
We&rsquo;re looking for an AI Business Engineer to:<br>
<br>
<ul><li>work with the crew to AI solution design and development to address business challenges.</li><li>collaborate with software engineers, and domain experts to identify and clarify use cases suitable for AI.</li><li>transform data into valuable insights that inform business decisions, making use of our internal.</li></ul>
data platforms and applying appropriate analytical techniques.<br>
<ul><li>partner with the crew to develop, train, and apply machine-learning models to make better predictions, automate.</li></ul>
manual processes, and solve challenging business problems.<br>
<ul><li>ensure the quality, security, reliability, and compliance of our solutions by applying our digital.</li></ul>
principles and implementing both functional and non-functional requirements.<br>
<ul><li>understand, represent, and advocate for client needs.</li></ul></div>
</div><div><p><b>Your team</b></p>
<div>In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. You&rsquo;ll be working in the AI Transformation crew in Qatar focusing on driving the adoption of artificial intelligence across the bank to enhance efficiency, decision-making, and customer experiences.</div>
</div><div><p><b>Your expertise</b></p>
<ul><li>working in agile environments with understanding of agile delivery frameworks and DevOps environments.</li><li>background in data science, machine learning engineering, or applied research is a significant plus.</li><li>understanding and ability to apply AI engineering techniques.</li><li>ability to break down complex problems, analyze data, and develop innovative solutions.</li><li>flexibility to learn new technologies, frameworks, and methodologies as the field evolves.</li><li>strong communicator, from making presentations to technical writing.</li><li>willingness to experiment and think outside the box to push boundaries in AI.</li></ul>
</div><div><p><b>About us</b></p>
<div>UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.<br>
<br>
We have a presence in all major financial centers in more than 50 countries.</div>
</div><div><p><b>How we hire</b></p>
<div>We may request you to complete one or more assessments during the application process. Learn more</div>
</div><div><p><b>Join us</b></p>
<div>At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.<br>
<br>
We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.</div>
</div><div><p><b>Contact Details</b></p>
<div>UBS Business Solutions SA<br>
UBS Recruiting</div>
</div><div><p><b>Disclaimer / Policy statements</b></p>
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

Protiviti Middle East Member Firm

<div>
 <p>
  <strong>
   Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is based in Doha, with occasional travel to other Middle East client locations as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ol>
  <li>
   Design and implement GenAI and RAG-based chatbots using Azure OpenAI, Cognitive Search, and Azure ML.
  </li>
  <li>
   Build document ingestion, embedding, and retrieval pipelines for enterprise knowledge sources.
  </li>
  <li>
   Prepare and process multilingual (English&ndash;Arabic) data ensuring quality and semantic accuracy.
  </li>
  <li>
   Deploy and manage AI solutions.
  </li>
  <li>
   Evaluate model accuracy, latency, and hallucination rates with ongoing monitoring.
  </li>
  <li>
   Ensure compliance with Responsible AI and data privacy frameworks.
  </li>
  <li>
   Collaborate with business and IT teams to align solutions with real use cases.
  </li>
  <li>
   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.
  </li>
  <li>
   Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
  </li>
  <li>
   Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
  </li>
  <li>
   4+ years of experience in AI/ML, with a strong consulting background
  </li>
  <li>
   Proven experience of implementing at least one LLM based solution
  </li>
  <li>
   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
  </li>
  <li>
   Proven track record in deploying AI solutions on Microsoft Azure
  </li>
  <li>
   Must be bilingual (Arabic and English language proficiency)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise
  </strong>
 </p>
 <ul>
  <li>
   Strong programming skills in Python, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
  </li>
  <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Industry Experience
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <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>
 <p>
 </p>
</div>


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

Super Micro Computer, Inc.

<div><div><p>Technology Enablement and AI Engineer</p><p></p><div><br>
</div></div><p><b>Date: </b>Nov 25, 2025
</p><p><b>Location:</b> Qatar - Doha
</p><p><b>Company: </b>Super Micro Computer
</p><div><div><div><div><div><b>Job Req ID: 28056</b></div>
</div></div><div></div><div><div><div><b>About Supermicro:</b></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><b>
Job Summary:</b></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><b>
Essential Duties and Responsibilities:</b></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><b>Qualifications:</b></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><b>EEO Statement</b></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><p></p>

Technology Enablement and AI Engineer

Codvo.ai

<div><div><div><p><b>Project Manager &ndash; Digital Transformation (Data &amp; AI, Oil &amp; Gas) (Category &ndash; Project Manager)</b></p><p><b>
Sector: Oil and Gas</b></p><p><b>
Location: Doha, Qatar</b></p><div></div><p><b><br>
Company Overview:</b></p><p>
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.</p><p>
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.</p><p></p><p><b><br>
Our Vision: Engineering the Future of Energy with Data</b></p><p>
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value.</p><p></p><p><b><br>
Job Description:</b></p><p>
We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil &amp; gas industry.</p><p></p><p><b><br>
Key Responsibilities</b></p><p>
Program &amp; Project Delivery</p><p>
o Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.</p><p>
o Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.</p><p>
o Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.</p><p>
o Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.</p><p>
Digital &amp; Data Transformation</p><p>
o Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.</p><p>
o Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.</p><p>
o Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.</p><p>
o Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.</p><p>
Stakeholder Engagement</p><p>
o Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.</p><p>
o Communicate complex technology initiatives in business terms for executive stakeholders.</p><p>
o Manage organizational change to ensure adoption across technical and non-technical teams.</p><p>
Governance &amp; Compliance</p><p>
o Ensure projects align with industry regulations, HSE standards, and data security requirements.</p><p>
o Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.</p><p>
Value Realization</p><p>
o Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).</p><p>
o Monitor ROI and continuously refine project portfolios based on impact.</p><p></p><p><b><br>
Required Skills &amp; Experience</b></p><ul><li>Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).</li><li>Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.</li><li>Oil &amp; Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).</li><li>Cloud &amp; Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.</li><li>AI &amp; Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.</li><li>Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.</li><li>Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.</li></ul><p></p><p><b><br>
Preferred Skills</b></p><ul><li>Experience in data governance frameworks and AI ethics in industrial settings.</li><li>Familiarity with multi-cloud deployments and hybrid architectures.</li><li>Strong business acumen, with the ability to tie technology investments to commercial value.</li></ul></div></div></div><p></p>

Project Manager (Data & AI, Oil & Gas) (Doha)

<div>
 <p>
  <strong>
   Overview:
  </strong>
 </p>
 <p>
  We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
  <strong>
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   1. Data Strategy &amp; Advisory
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   2. Data Architecture &amp; Engineering
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   3. AI &amp; Advanced Analytics
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   4. Consulting, Pre-Sales &amp; Thought Leadership
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 </p>
 <p>
  5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 </p>
 <p>
  Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 </p>
 <p>
  Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Expertise (Candidates should have expertise in one or more domains)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   A. Data Management
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   B. Data Governance &amp; Strategy
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   C. AI/ML Engineering
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Strong client-facing communication and stakeholder management.
 </p>
 <p>
  Ability to translate technical insights into business outcomes.
 </p>
 <p>
  Experience in pre-sales engagements, proposals, and workshops.
 </p>
 <p>
  Leadership in mentoring teams and driving delivery excellence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certifications (Preferred)
  </strong>
 </p>
 <p>
  Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 </p>
 <p>
  DAMA Certified Data Management Professional (CDMP) or equivalent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location &amp; Travel
  </strong>
 </p>
 <p>
  Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 </p>
</div>


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

hiringplug™

<div>
 <p>
  Job Title:
  <strong>
   Senior Data &amp; AI Consultant
  </strong>
  <strong>
   (Senior Manager / Manager)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    About the Company &amp; the Role
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our client is a leading
  <strong>
   Global Business Consulting firm
  </strong>
  with presence in many countries and domains. We are seeking a
  <strong>
   Senior Data &amp; AI Consultant
  </strong>
  (Manager/Sr. Manager Level) with 8&ndash;12 years ideally with
  <strong>
   Big 4 or top-tier consulting experience
  </strong>
  , with deep experience in
  <strong>
   Data Governance, Data Engineering, and AI/ML Engineering
  </strong>
  , with
  <strong>
   Microsoft Azure as a mandatory skillset
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a
  <strong>
   client-facing consulting role
  </strong>
  requiring strong technical expertise, strategic advisory capabilities, and leadership presence. You will lead enterprise-level Data &amp; AI transformation programs across GCC markets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Location: The role is based in
  <strong>
   Doha, Qatar
  </strong>
  with travel across GCC (UAE, KSA) as required.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   1. Data Strategy &amp; Advisory
  </strong>
 </p>
 <ul>
  <li>
   Develop enterprise-wide
   <strong>
    Data &amp; AI strategies
   </strong>
   aligned with business priorities.
  </li>
  <li>
   Assess organizational maturity and design end-to-end transformation roadmaps.
  </li>
  <li>
   Advise on data lifecycle management and
   <strong>
    Responsible AI
   </strong>
   frameworks.
  </li>
  <li>
   Conduct CXO-level workshops and stakeholder alignment sessions.
  </li>
 </ul>
 <p>
  <strong>
   2. Data Architecture &amp; Engineering (Azure-Focused)
  </strong>
 </p>
 <ul>
  <li>
   Architect modern data platforms on
   <strong>
    Microsoft Azure
   </strong>
   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
   <strong>
    Azure Data Factory, Synapse, Databricks
   </strong>
   , etc.
  </li>
  <li>
   Implement governance frameworks including
   <strong>
    data quality, metadata, lineage
   </strong>
   (Azure Purview).
  </li>
  <li>
   Collaborate with AI teams to ensure robust data readiness for ML workloads.
  </li>
 </ul>
 <p>
  <strong>
   3. AI, Machine Learning &amp; Advanced Analytics
  </strong>
 </p>
 <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
   <strong>
    MLOps
   </strong>
   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>
 <p>
  <strong>
   4. Consulting, Pre-Sales &amp; Thought Leadership
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Required Qualifications
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Engineering, AI, Information Systems, or related fields.
  </li>
  <li>
   <strong>
    8&ndash;12 years
   </strong>
   in Data &amp; AI consulting, architecture, or strategy roles ideally with
   <strong>
    Big 4 or top-tier consulting
   </strong>
   experience.
  </li>
  <li>
   Strong working knowledge of
   <strong>
    Azure ecosystem
   </strong>
   (mandatory); familiarity with AWS/GCP is a plus.
  </li>
  <li>
   Experience across industries: Public Sector, FS, Oil &amp; Gas, Government, Healthcare, Utilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Technical Expertise
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   A. Data Management
  </strong>
 </p>
 <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>
 <p>
  <strong>
   B. Data Governance &amp; Strategy
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of
   <strong>
    DAMA-DMBOK, CMMI-DMM
   </strong>
   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>
 <p>
  <strong>
   C. AI/ML Engineering
  </strong>
 </p>
 <ul>
  <li>
   Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Generative AI
   </strong>
   (LLMs, RAG, prompt engineering).
  </li>
  <li>
   Strong knowledge of
   <strong>
    MLOps
   </strong>
   and automated model lifecycle management.
  </li>
  <li>
   Experience in 3+ domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, Anomaly Detection.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Consulting &amp; Leadership Skills
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Certifications
  </strong>
 </p>
 <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>
 <p>
 </p>
</div>


Senior Data Consultant

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