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ai ml data engineer

Synechron

<div>
 <p>
  Greetings,
 </p>
 <p>
  <br/>
 </p>
 <p>
  We have an immediate vacancy for an
  <strong>
   AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
  </strong>
  with over 7 years of experience at Synechron, based in Dubai.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Role:
  <strong>
   AI/ML Data Engineer &ndash; Unstructured Data &amp; LLM Integration
  </strong>
 </p>
 <p>
  <strong>
   Location: Dubai
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
 </p>
 <p>
  <strong>
   About Company:
  </strong>
 </p>
 <p>
  At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron&rsquo;s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud &amp; DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000+, and has 40 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Diversity, Equity, and Inclusion
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Synechron&rsquo;s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.
  </strong>
 </p>
 <p>
  <strong>
   We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn&rsquo;t matter where you&rsquo;re from or what you&rsquo;ve had to do to get here &ndash; if you have the skills, enthusiasm, and drive to make your mark, we&rsquo;ll support you like we support each other. Choose a career with us and let&rsquo;s pursue innovation, together.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <strong>
   Job Descriptions:
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Degree, Post graduate in Computer Science or related field (or equivalent industry experience).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  We are looking for an AI/ML-focused Data Engineer who brings deep expertise in building intelligent data pipelines for unstructured content and is experienced in integrating with modern machine learning ecosystems. The ideal candidate will have hands-on experience in PySpark and Python, with a strong focus on document classification, cleansing, quality metrics, and the ability to work with LLMs, vector databases, and Retrieval-Augmented Generation (RAG) frameworks. Candidates will play a critical role in bridging data engineering and machine learning, enabling the development of AI-first applications across the enterprise.
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
   </strong>
   Build robust, scalable data processing pipelines for unstructured documents (PDFs, emails, forms, etc.) using PySpark and Python.
  </li>
  <li>
   Implement document cleansing, classification, and enrichment techniques to prepare high-quality data for AI/ML applications.
  </li>
  <li>
   Develop and integrate data workflows that feed into LLM-based pipelines and support vector-based retrieval using RAG architectures.
  </li>
  <li>
   Engineer vector embeddings, document chunking, and metadata tagging for semantic search and question-answering systems.
  </li>
  <li>
   Collaborate closely with AI architect, AI/Data engineers, and platform teams to design end-to-end AI solutions.
  </li>
  <li>
   Communicate data readiness, pipeline quality, and model integration strategies clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Apply Agile methodologies and CI/CD best practices to deliver continuously evolving AI capabilities.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills:
  </strong>
 </p>
 <p>
  <strong>
  </strong>
 </p>
 <ul>
  <li>
   Overall 5+ years of commercial experience with 2+ years in relevant role
  </li>
  <li>
   Strong proficiency in PySpark and distributed data frameworks.
  </li>
  <li>
   Solid experience in core Python, including ML/AI libraries (e.g., Transformers, LangChain, Hugging Face, FAISS, etc.).
  </li>
  <li>
   Proven expertise in processing unstructured data and document intelligence (OCR, NLP, classification, tagging).
  </li>
  <li>
   Familiarity with vector databases (e.g., Redis) and embedding models for RAG pipelines.
  </li>
  <li>
   Understanding of LLM lifecycle, including fine-tuning, inference, and prompt engineering.
  </li>
  <li>
   Experience working in agile environments, collaborating with cross-functional teams.
  </li>
  <li>
   Excellent communication skills with the ability to interface with both technical and business stakeholders.
  </li>
 </ul>
 <p>
 </p>
</div>


AI/ML Data Engineer

Al Ghurair

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Independently design and implement end-to-end AI, Generative AI, and agentic AI solutions, taking full technical ownership of architecture, development, deployment, and optimization.
  </li>
  <li>
   Architect and build frameworks for autonomous AI agents capable of planning, reasoning, and executing multi-step tasks using APIs, tools, enterprise systems, and external services.
  </li>
  <li>
   Develop robust integration patterns for LLMs, ML models, and agentic systems with enterprise applications, including databases, APIs, and legacy platforms, enabling intelligent tool-using agents.
  </li>
  <li>
   Hands-on model selection, fine-tuning, evaluation, and optimization for LLMs, transformer-based architectures, diffusion models, and other advanced AI models.
  </li>
  <li>
   Design advanced system components such as agent memory, reflection loops, vector stores, and long-horizon planning mechanisms to support scalable agentic intelligence.
  </li>
  <li>
   Work closely with cross-functional stakeholders to identify automation and augmentation opportunities, translating business needs into AI architecture and actionable solution designs.
  </li>
  <li>
   Implement strong governance, compliance, and Responsible AI controls, ensuring transparency, security, and safe deployment of all autonomous and generative systems.
  </li>
  <li>
   Define and operationalize monitoring, observability, and performance evaluation frameworks for continuous improvement of AI models and agentic systems.
  </li>
  <li>
   Drive cost optimization strategies across AI infrastructure, training pipelines, inference workloads, and cloud resource utilization.
  </li>
  <li>
   Ensure measurable value realization by validating that implemented AI solutions deliver tangible business impact and align with organizational objectives.
  </li>
  <li>
   Collaborate with the AI/ML engineering community and provide technical direction when needed, while maintaining personal hands-on ownership of core development activities.
   <br/>
   <br/>
  </li>
 </ul>
 Education and Qualification
 <br/>
 <br/>
 <ul>
  <li>
   Master&rsquo;s degree (preferred) or Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
  </li>
  <li>
   Advanced certifications or specialization in AI/ML architecture, cloud platforms, or generative AI technologies are a plus
  </li>
  <li>
   Certification in Databricks, Azure AI Engineer or Azure Data Scientist Associate
  </li>
  <li>
   8-10 years of experience in AI/ML solution design and architecture, including at least 4+ years in Generative AI and agentic AI systems.
  </li>
  <li>
   Proven track record in architecting large-scale AI platforms, integrating LLMs, and designing multi-agent systems.
  </li>
  <li>
   Strong proficiency in Python and deep understanding of ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face Transformers).
  </li>
  <li>
   Expertise in LLMs (e.g., GPT, Claude, LLaMA), vector databases, and prompt engineering strategies.
  </li>
  <li>
   Hands-on experience with agentic frameworks (e.g., LangChain Agents, AutoGPT, OpenAgents, CrewAI) and orchestration of autonomous agents.
  </li>
  <li>
   Deep knowledge of planning, reasoning, and decision-making architectures for autonomous systems.
  </li>
  <li>
   Experience in cloud-native AI architecture on Azure, including Azure ML/AI platform, Copilot Studio, and Azure Foundry.
  </li>
  <li>
   Strong background in containerization and orchestration (Docker, Kubernetes) for scalable AI deployments.
  </li>
  <li>
   Familiarity with reinforcement learning, symbolic reasoning, and neuro-symbolic AI approaches.
  </li>
  <li>
   Experience with real-time data processing, event-driven architectures, and MLOps best practices for production-grade AI systems.
  </li>
 </ul>
</div>


Senior Manager - AI & ML

Etera Technologies FZCO

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.</li>
<li>4&ndash;5 years of experience building production-grade AI/ML or software systems.</li>
<li>Strong programming experience with Python, Node.js and Bun.</li>
<li>Experience with at least one additional backend language or runtime (e.g., TypeScript, Go, Java).</li>
<li>Hands-on experience with LLMs, NLP, or modern transformer architectures.</li>
<li>Experience building or integrating chat interfaces or conversational AI systems.</li>
<li>Dubai-based candidates preferred.</li>
</ul><h3 class="jobSectionHeader"><b>Preferred qualifications:</b></h3><ul>
<li>5+ years of experience with data structures, algorithms, and scalable system design.</li>
<li>Experience architecting AI/ML flows, multi-agent systems, or agentic reasoning pipelines.</li>
<li>Experience with RAG, CAG, or hybrid retrieval-based reasoning.</li>
<li>Experience with vector databases (Qdrant, Pinecone, Weaviate, Redis) and large-scale embedding systems.</li>
<li>Experience with ML Ops workflows &mdash; monitoring, versioning, model lifecycle, automated evaluation.</li>
<li>Experience training or fine-tuning LLMs or domain-specific models.</li>
<li>Experience with multimodal models (vision + language).</li>
<li>Deep expertise in prompt engineering, context engineering, evaluation strategies, safety guardrails, and fallback design.</li>
<li>Understanding of Responsible AI, hallucination prevention, and high-reliability conversational systems.</li>
<li>Track record of using AI coding tools (Cursor, OpenAI, Claude, etc.) to accelerate development.</li>
<li>Experience in travel tech, hospitality, e-commerce, or search-heavy consumer products.</li>
</ul><p></p><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
Etera is building the future of intelligent travel &mdash; where conversation becomes the interface, planning becomes seamless, and discovery feels personal and intuitive.</p><p>
As a dedicated AI Engineer, you&rsquo;ll architect and implement the intelligence systems that shape Etera&rsquo;s conversational experiences: multi-agent reasoning flows, retrieval pipelines, memory layers, safety mechanisms, and ML Ops foundations. You&rsquo;ll work with autonomy across model selection, infrastructure choices, and workflow design &mdash; in a model-agnostic environment that uses whichever tools deliver the best outcomes (OpenAI, Anthropic, or open-source).</p><p>
This role requires both depth and creativity. You&rsquo;ll push the boundaries of retrieval-augmented reasoning, multimodal intelligence, context optimization, and real-time conversational UX. You&rsquo;ll collaborate closely with backend, product, design, and search teams to create flows that feel natural, intelligent, and deeply human.</p><p>
The space is expanding rapidly, and you will help define the intelligence layer powering a new era of AI-driven travel.</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul>
<li>Architect and scale Etera&rsquo;s multi-agent intelligence system for real-time recommendations, decision-making, and bookings.</li>
<li>Build advanced RAG/CAG frameworks, retrieval pipelines, and context-aware reasoning flows optimized for chat.</li>
<li>Develop the knowledge architecture for global venues &mdash; embeddings, vector search, ranking, and personalization.</li>
<li>Apply expert-level prompt engineering, context engineering, safety techniques, and evaluation methods across all conversational flows.</li>
<li>Train or fine-tune models where appropriate and design automated evaluation systems (LLM-as-judge, regression detection, human-in-the-loop).</li>
<li>Implement safety layers to prevent incorrect details, wrong availability, or booking errors &mdash; including deterministic fallback flows and confidence scoring.</li>
<li>Collaborate with backend, product, and UX teams to design intuitive conversational flows, API contracts, and human-like interactions.</li>
<li>Build and maintain end-to-end ML Ops pipelines &mdash; ingestion, monitoring, versioning, automated evaluation, and CI/CD for agentic systems.</li>
<li>Establish engineering best practices and contribute to the long-term architecture of Etera&rsquo;s AI systems.<br>
</li></ul><h3 class="jobSectionHeader"><b>Why Etera</b></h3><ul>
<li>You&rsquo;ll own the intelligence layer of a product built to transform how people explore the world.</li>
<li>You&rsquo;ll define the architecture for AI reasoning, retrieval, safety, and multi-agent orchestration.</li>
<li>You&rsquo;ll work with a team that values craftsmanship, creativity, and building technology that feels human.</li>
<li>You&rsquo;ll help shape a new category of AI-powered travel discovery.</li></ul></div>

AI Engineer

ClearVUE.Business

<div>
 <p>
  <strong>
   Hi, we're ClearVUE Dubai
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  ClearVUE Dubai is an environmental and energy consultancy and technology provider. We work with companies across all sectors to define and execute their carbon reduction and energy efficiency strategies on their wider ESG initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Through comprehensive energy and carbon assessments and strategy building and implementation services, underpinned by industry-leading energy and carbon management technology, we are creating revolutionary solutions for businesses to eradicate their impact on the climate one step at a time.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ClearVUE Dubai is part of Global Procurement Group, a multinational group of companies working in energy procurement and consultancy. Join our global family, with modern and vibrant offices in the UK, France, Malta, and India. Be part of a team leading the way in energy consultancy and helping businesses make informed decisions about their energy consumption.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The opportunity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you an AI engineer with a passion for data, innovation, and driving real-world impact? We&rsquo;re looking for a skilled and motivated AI Engineer to join our data team in Dubai. In this role, you&rsquo;ll work on impactful projects in energy and sustainability, applying advanced machine learning techniques, AI tools, and large language models (LLMs) to solve complex, real-world challenges and help shape the future of intelligent solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What exactly will you do?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Collaborate with our team to analyse and interpret data from diverse sources, including sensors, APIs, and customer platforms.
  </li>
  <li>
   Design, develop, and deploy machine learning models that predict trends, improve efficiency, and generate actionable insights from energy-related data.
  </li>
  <li>
   Build and integrate AI/ML solutions into production environments, ensuring scalability and reliability in real-world applications.
  </li>
  <li>
   Work with modern AI tools such as
   <strong>
    OpenAI, Hugging Face, and LangChain
   </strong>
   , applying
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   and
   <strong>
    Model Context Protocol (MCP)
   </strong>
   techniques to enhance data relevance, context awareness, and explainability in AI-driven products.
  </li>
  <li>
   Stay current with the latest advancements in AI, data science, and MLOps tools, and bring innovative ideas to the team.
  </li>
  <li>
   Participate in brainstorming sessions, code reviews, and planning meetings; your technical perspective and creativity will help shape our solutions.
  </li>
  <li>
   Contribute to dashboards, reports, and prototypes that translate complex data into clear, actionable insights for clients and internal teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   3 &ndash; 5 years of experience working as an
   <strong>
    AI Engineer
   </strong>
   or similar role.
  </li>
  <li>
   Bachelor&rsquo;s Degree in
   <strong>
    Computer Science, Data Science, Engineering, Maths, Physics
   </strong>
   , or a related field.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Python
   </strong>
   ,
   <strong>
    data analysis
   </strong>
   , or
   <strong>
    machine learning
   </strong>
   .
  </li>
  <li>
   Solid understanding of AI/ML concepts (e.g., building and evaluating models, using Jupyter notebooks, working with LLM APIs).
  </li>
  <li>
   Proficiency in data manipulation using tools such as
   <strong>
    pandas
   </strong>
   ,
   <strong>
    NumPy
   </strong>
   , and
   <strong>
    SQL
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    scikit-learn
   </strong>
   ,
   <strong>
    TensorFlow
   </strong>
   , or
   <strong>
    PyTorch
   </strong>
   , and familiarity with LLM frameworks such as
   <strong>
    OpenAI API
   </strong>
   or
   <strong>
    LangChain
   </strong>
   .
  </li>
  <li>
   Excellent communication skills; you can clearly explain technical concepts to both technical and non-technical audiences
  </li>
  <li>
   A proactive team player with a growth mindset, eager to learn, share knowledge, and contribute to meaningful projects
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have (but not expected)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Master&rsquo;s Degree in related field.
  </li>
  <li>
   Experience implementing
   <strong>
    RAG pipelines
   </strong>
   or
   <strong>
    MCP-based integrations
   </strong>
   to connect AI models with live enterprise data sources.
  </li>
  <li>
   Knowledge of time series data or experience working with energy, IoT, or sustainability projects.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, GCP, or Azure) or tools like Git, Docker, or APIs.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is your chance to work with a team building technology that actually matters, not just another app, but a platform helping organisations become more energy efficient and sustainable. We&rsquo;ll support your growth, celebrate your ideas, and push the boundaries of what software can do in today&rsquo;s energy landscape.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What&rsquo;s in it for you?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  💎
  <strong>
   Compensation Package:
  </strong>
  We offer a
  <strong>
   monthly base salary of 16,000 AED
  </strong>
  , plus
  <strong>
   comprehensive medical insurance.
  </strong>
 </p>
 <p>
  🌍
  <strong>
   Purpose-Driven Impact:
  </strong>
  Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 </p>
 <p>
  🚀
  <strong>
   Ongoing Support and Development:
  </strong>
  Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 </p>
 <p>
  📈
  <strong>
   Clear Path to Advancement:
  </strong>
  We believe in nurturing our own; promotions from within are our specialty.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   GPG is an equal opportunity employer and applicants will be considered for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
  </em>
 </p>
</div>


Dautom

<div>
 <p>
  Hiring for AI Infrastructure Engineer in Dubai for Semi Govt Client
 </p>
 <p>
  Years : 6 Years
 </p>
 <p>
  Location : Dubai ( Looking for UAE Based candidates )
 </p>
 <p>
  Reports To: Head of Infrastructure / AI Platform Lead
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Summary :
 </p>
 <p>
  Design, build, and operate scalable GPU-based AI infrastructure to support LLMs, GenAI, computer vision, and ML workloads. Manage GPU clusters, deploy OpenShift AI, and ensure high-performance, secure AI platforms across hybrid cloud environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Responsibilities:
 </p>
 <p>
  Deploy and maintain Red Hat OpenShift AI (RHODS) for multi-tenant AI environments.
 </p>
 <p>
  Host and scale #LLM frameworks (Llama, Falcon, Mistral, etc.) and vector databases.
 </p>
 <p>
  Build MLOps pipelines for model training, deployment, and monitoring using Terraform/Ansible.
 </p>
 <p>
  Implement hybrid AI solutions across Sovereign Cloud, Azure AI, and Oracle Cloud.
 </p>
 <p>
  Mandatory Skills &amp; Experience:
 </p>
 <p>
  7+ years in #cloudinfrastructure, DevOps, or AI/ML platform engineering.
 </p>
 <p>
  Hands-on experience with #NVIDIA#GPU clusters (CUDA, DNN, GPU operators, NCCL).
 </p>
 <p>
  Strong experience with OpenShift AI (RHODS)
 </p>
 <p>
  <br/>
 </p>
 <p>
  Key Deliverables:
 </p>
 <p>
  Production-ready #GPUclusters and #OpenShift #AIplatform.
 </p>
 <p>
  Scalable #LLM serving environment with #MLOps automation.
 </p>
 <p>
  Fully documented, secure, and compliant #AIinfrastructure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Share your word cv to Hema Javvadi with your CTC and Notice details : hema.j@dautom.com
 </p>
</div>


AI Infrastructure Engineer

Ankura

<div><div>Ankura is a team of excellence founded on innovation and growth.</div><div></div><div>
Our Data Analytics team sits within the Risk Advisory practice, which is one of six practices focused on client delivery services across the Firm.</div><div></div><div>
Practice:</div><div>
We help businesses, government entities, and law firms to address their most complex and pressing concerns and make well informed decisions, using some of the most advanced analytics and technology, tools, and techniques.</div><div></div><div>
We are looking for a passionate and technically skilled software engineer to join our Data Analytics team. This is a great opportunity to work on real-world AI projects, including training large language models (LLMs), data modeling, and AI hardware testing. You will also help research, test, and customize advanced AI solutions both on-premise and in the cloud.</div><div></div><div>
Why Join Ankura</div><ul><li><div>
We can support and develop individuals who aspire to be an expert.</div></li><li><div>
Vast opportunities for career development, with formal development process, training programmes and internal e-learning training platform, Ankura Academy.</div></li><li><div>
Work with leading experts in an established leading global consultancy.</div></li><li><div>
Work in a collaborative environment, where our professionals have the freedom to innovate, which promotes curiosity, learning, and communication.</div></li><li><div>
Assist with project scoping calls and developing work stream process plans.</div></li><li><div>
Work with the solutions and delivery teams to design, develop, and deploy cutting-edge AI solutions that solve real business challenges and create new opportunities for innovation.</div></li><li><div>
Assist in testing machine learning models, including LLMs (e.g., GPT, LLaMA, Falcon).</div></li><li><div>
Identify and assess business problems that can be addressed using AI technologies.</div></li><li><div>
Conduct comparative research on available ML/LLM models (cloud-based, proprietary, and open source).</div></li><li><div>
Drive innovation by exploring emerging trends in AI and proposing relevant pilots or proofs-of-concept.</div></li><li><div>
Provide support in data preparation, preprocessing, and pipeline optimization.</div></li><li><div>
Conducting quality control checks to ensure accuracy of tasks/deliverables;</div></li><li><div>
Assist in the preparation of reports, written analyses, trial and other presentations, quantitative exhibits, and other client deliverables; and</div></li><li><div>
Maintain detailed working records reflecting assumptions, methodologies, and information sources employed during the performance of all analytical tasks.</div></li><li><div>
Identify, research, and organise information to assess the appropriateness and sufficiency of available data to facilitate effective data access and analysis; and</div></li><li><div>
Design innovative approaches to solve data related challenges.</div></li><li><div>
Self and team development</div></li></ul><ul><li><div>
Responsible for self, peer and Associate task management within a variety of sized projects, including interaction with other team members, professionals from other firms involved in the engagement, and client personnel; and maintain a professional image within the company and project the same to those outside of the company.</div></li></ul><div></div><div>
Requirements:</div><ul><li><div>
A Science, Mathematical and Quantitative based bachelor&rsquo;s degree or equivalent. For example, but not limited to Maths, Physics, Engineering, Computer Science etc.</div></li><li><div>
1&ndash;2 years of hands-on experience in AI/ML related projects. Strictly no vibe coding.</div></li><li><div>
Knowledge of machine learning principles, neural networks, and data modelling.</div></li><li><div>
Experience with Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a must.</div></li><li><div>
Good understanding of ETL processes and experience in manipulating and analysing large amounts of data.</div></li><li><div>
Interest in AI hardware and performance benchmarking.</div></li><li><div>
Strong research and analytical skills.</div></li><li><div>
Strong work ethic, eagerness to learn, and motivation to succeed.</div></li><li><div>
Experience working in a team-orientated environment.</div></li><li><div>
Excellent communication (both written and verbal), mathematical, and organisational skills.</div></li><li><div>
Ability to work both independently and as part of a team in a high-paced, multi-task environment with attention to detail.</div></li><li><div>
Ability to interface with team members and client personnel in demanding, deadline-driven situations.</div></li><li><div>
Flexibility with respect to assigned tasks and engagements due to challenging deadlines, changing deliverables, and evolving task priorities.</div></li></ul><div></div><div>
Desirable:</div><ul><li><div>
Good understanding of enterprise IT infrastructure and networking.</div></li><li><div>
Good understanding and experience with other programming languages such as Java and R.</div></li><li><div>
Proficient in data engineering using data stores including MS SQL Server, Oracle, NoSQL, Hadoop or other distributed data technologies.</div></li><li><div>
Exposure to cloud platforms (AWS, Azure, GCP).</div></li><li><div>
Willingness to travel internationally for both short- and long-term client engagements</div></li></ul><div></div><div>
Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.</div></div><div></div>

Associate, Risk Advisory, Data Analytics (Dubai)

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Lead Data Scientist for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Requirements:</b><br>
<ul>
<li>Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math.</li>
<li>5+ years of experience in AI/ML strategy, leadership, and delivery.</li>
<li>Minimum of 12 years of experience is required</li>
<li>Proven ability to build and scale enterprise-level AI/LLM platforms.</li>
<li>Technical & Strategic Requirements</li>
<li>Strategic AI Leadership:</li>
<li>Defines and drives AI roadmaps aligned with corporate goals.</li>
<li>Oversees model lifecycle from experimentation to production.</li>
<li>LLM & NLP (Architect Level):</li>
<li>Designs LLM-based ecosystems with RAG pipelines, model orchestration, and fine-tuning strategies.</li>
<li>Leads fine-tuning or domain-specific pretraining using proprietary datasets.</li>
<li>Integrates Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI into enterprise stacks.</li>
<li>Defines governance, compliance, and security standards for LLM deployments.</li>
<li>Oversees evaluation frameworks for hallucination rate, factual accuracy, and toxicity control.</li>
<li>Infrastructure & Governance:</li>
<li>Owns data governance policies, feature stores, and model observability infrastructure.</li>
<li>Collaborates with DevOps and Security to ensure scalability and resilience.</li>
<li>Team & Stakeholder Leadership:</li>
<li>Builds and manages multidisciplinary AI teams (Data Scientists, ML Engineers, Data Engineers).</li>
<li>Communicates directly with executive management and non-technical stakeholders.</li>
<li>Evaluates vendors and partnerships for AI acceleration.</li>
<li>Leadership Competencies</li>
<li>Visionary mindset driving innovation across business units.</li>
<li>Excellent executive communication and influence skills.</li>
<li>Focused on measurable ROI, scalability, and ethical AI.</li>
<li>Mentors senior scientists, defining best practices and research direction.</li>
</ul>


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Associate, Risk Advisory, Data Analytics (Dubai)

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