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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>


AI Engineer

OneBullEx

<div><p>OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform delivers real-time trading performance&mdash;even under extreme market volatility&mdash;powered by advanced automation and AI-driven tools, including our 300 SPARTANS trading bots. With cutting-edge machine learning, a user-first design, and transparent risk management, we are on a mission to redefine how traders navigate the fast-moving world of digital assets.</p>
<p><b>
Job Overview</b></p>
<p>
We are seeking a Senior AI Engineer, Quantitative Strategies to help pioneer a next-generation, self-evolving AI pipeline for trading strategy creation. This role goes beyond traditional engineering&mdash;you will architect an autonomous system that can generate, test, and refine its own strategies using the latest in large language models (LLMs) such as Gemini, ChatGPT, and Claude. If you are excited by the idea of making AI a true creative partner in quantitative trading, this is your chance to help shape the future of the industry.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Architect from the ground up an autonomous strategy generation and evaluation pipeline, making key technical decisions that will define its future</li>
<li>Integrate and fine-tune cutting-edge LLMs to generate novel, testable trading hypotheses</li>
<li>Build closed-loop feedback systems to automate backtesting, analyse performance, and iteratively improve AI-generated strategies</li>
<li>Act as a bridge between quantitative research and AI engineering, working closely with traders and analysts to translate market insights into machine-executable strategies</li>
<li>Ensure scalability, performance, and robustness of all deployed systems</li>
</ul>
<p><b>Candidate Requirements</b></p>
<ul>
<li>Advanced degree (Master's or Ph.D.) in Financial Engineering, Computer Science, Industrial Engineering, or a related quantitative field</li>
<li>3+ years of hands-on experience in quantitative or software engineering roles, ideally within trading, fintech, or financial markets</li>
<li>Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and experience with ML frameworks (PyTorch, TensorFlow, or JAX)</li>
<li>Solid knowledge of deep learning, reinforcement learning, and optimisation techniques</li>
<li>Experience with LLM APIs, prompt engineering, and preferably fine-tuning</li>
<li>Strong software engineering fundamentals, including Git, testing, and deployment workflows</li>
<li>Deep understanding of financial markets, statistical analysis, and strategy development principles</li>
</ul>
<p><b> </b><b>Preferred Qualifications</b></p>
<ul>
<li>Proven track record of developing and executing trading strategies in live markets</li>
<li>Recognition in quantitative competitions (e.g., Kaggle, Quantopian)</li>
<li>GitHub or portfolio demonstrating complex, data-driven projects</li>
<li>Experience with reinforcement learning or other adaptive systems</li>
<li>A strong intellectual curiosity and drive to push technological boundaries</li>
</ul>
<p><b>Why Join OneBullEx?</b></p>
<ul>
<li>Early Impact &ndash; Be part of the founding team shaping a revolutionary AI-driven trading ecosystem</li>
<li>Innovation at Scale &ndash; Work with cutting-edge AI, LLMs, and financial technology in a high-growth startup</li>
<li>Global Ambition &ndash; Contribute to a platform with plans for rapid international expansion</li>
<li>Competitive Package &ndash; Attractive salary, performance-based incentives, and relocation support to Dubai</li></ul></div>

Senior AI Engineer, Quantitative Strategies

DataRobot

<p><strong>Key Responsibilities:</strong></p><ul><li><p>Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.</p></li><li><p>Build &amp; Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:</p></li><li><p>Agentic AI:  Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index</p></li><li><p>Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.</p></li><li><p>Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.</p></li><li><p>Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.</p></li><li><p>Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.</p></li><li><p>Communicate &amp; Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.</p></li></ul><p><strong>Knowledge, Skills and Abilities:</strong></p><p><strong>AI &amp; Machine Learning Expertise:</strong></p><ul><li><p>Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).</p></li><li><p>Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,</p></li><li><p>Solid understanding of the end-to-end agentic AI lifecycle from building agents in  frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.</p></li></ul><p><strong>Application Development &amp; Operations:</strong></p><ul><li><p>Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.</p></li><li><p>Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).</p></li><li><p>Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.</p></li><li><p>Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.</p></li><li><p>Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.</p></li></ul>

Senior AI Engineer - Professional Services - UAE

Rapyd

<div>
 <p>
  <strong>
   Description
  </strong>
 </p>
 <p>
  Rapyd has unified payments, payouts and fintech on one worldwide platform, and we&rsquo;re assembling the world&rsquo;s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.
 </p>
 <p>
  We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let&rsquo;s build the future of fintech together.
 </p>
 <p>
  We&rsquo;re looking for a builder with a backend backbone&mdash;someone who can spot an opportunity, sketch a solution, and ship a working service fast. You&rsquo;ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.
 </p>
 <p>
  You&rsquo;ll work at the edge of what&rsquo;s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.
 </p>
 <p>
  Get the tools to grow globally at
  <u>
   www.rapyd.net
  </u>
  . Follow:
  <u>
   Blog
  </u>
  ,
  <u>
   Insta
  </u>
  ,
  <u>
   LinkedIn
  </u>
  ,
  <u>
   Twitter
  </u>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   In this role, you will:
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and scale backend services and RESTful APIs to power AI-driven features.
  </li>
  <li>
   Develop and iterate on LLM-based applications, including context-aware pipelines (e.g. with vector-store retrieval).
  </li>
  <li>
   Own the full lifecycle: prototyping, evaluation, deployment, monitoring, and continuous iteration.
  </li>
  <li>
   Define KPIs, run experiments, and optimize systems based on metrics and data.
  </li>
  <li>
   Collaborate across product, data, and engineering to translate ideas into robust, shippable systems.
  </li>
  <li>
   Stay current with the evolving LLM/agent ecosystem and rapidly apply new tools or protocols (e.g., MCP).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  What you'll need (core requirements):
 </p>
 <ul>
  <li>
   5+ years of professional software development experience with a strong backend focus.
  </li>
  <li>
   Experience with advanced LLM workflows: prompt engineering, inference optimization, fine-tuning, and evaluation.
  </li>
  <li>
   Demonstrated experience integrating generative models with external knowledge (via RAG or similar patterns).
  </li>
  <li>
   Practical knowledge of embeddings and vector databases (e.g. FAISS, Pinecone).
  </li>
  <li>
   Experience building and scaling data pipelines for LLM ingestion and retrieval.
  </li>
  <li>
   Strong communication skills, bias for action, and ability to thrive in fast-paced environments.
  </li>
 </ul>
 <p>
  Bonus / preferred qualifications:
 </p>
 <ul>
  <li>
   Previous work with agent frameworks or context protocols.
  </li>
  <li>
   Experience with Agile practices and a habit of staying on top of AI research and tooling.
  </li>
  <li>
   Hands-on experience designing and building microservices architectures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Candidate Privacy Policy &ndash;
  <u>
   https://www.rapyd.net/candidate-privacy-policy
  </u>
 </p>
</div>


AI Software Engineer

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

Virtusa

<div><p><b>Responsibilities:</b><b><br>
</b></p><ul><li> Solution Design &amp; Build: Use UnifyApps&rsquo; no-code builder to create AI agents and GenAI apps using Application, Automation, Data, and AI Agent modules
</li></ul><ul><li> Prompting &amp; RAG: Engineer prompts, tool/function calling, chunking/embedding, vectorization, reranking, grounding, and guardrails for high-quality Arabic/English outputs
</li></ul><ul><li> Agent Evaluation: Create golden test sets; use agent-eval frameworks to track accuracy
</li></ul><ul><li> LLM Model training &amp; fine-tuning (via prompt engineering &amp; other methods) in Arabic and English
</li></ul><ul><li> Customer Delivery: Run discovery, define user stories &amp; acceptance criteria, build PoCs/MVPs, iterate rapidly with stakeholders
</li></ul><ul><li> Platform Expertise: Become an SME on the UnifyApps platform; provide structured product feedback to influence roadmap
</li></ul><p></p><p><b>Requirements:
</b></p><ul><li> Experience: 2&ndash;4 years in AI/LLMs building real applications or agents
</li></ul><ul><li> Language: Professional Arabic &amp; English (read/write/communicate)
</li></ul><ul><li> In-depth knowledge on Gen AI: LLMs, team of agents,, MCP/A2A, RAG (chunking, embeddings, reranking, vector DBs), grounding/hallucination, AI governance, auditability, evaluation, HITL etc
</li></ul><ul><li> Model Ops: Prompt engineering, golden test set creation, agent-eval frameworks, A/B testing, regression analysis, basic fine-tuning (PEFT/LoRA)
</li></ul><ul><li> Integrations: REST/GraphQL APIs, OAuth, webhooks; stitching systems into end-to-end flows
</li></ul><div><p><b>About Virtusa</b></p>
<p>Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

GenAI 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)

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