civil engineer

planning engineer

mep engineer

project engineer

mechanical engineer

ml engineer

Etihad Credit Bureau

<div>
 <p>
  <strong>
   JOB DESCRIPTION SUMMARY
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   KEY DUTIES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Production Model Maintenance:
   </strong>
   Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
  </li>
  <li>
   <strong>
    Platform Orchestration:
   </strong>
   Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
  </li>
  <li>
   <strong>
    High-Availability Engineering:
   </strong>
   Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
  </li>
  <li>
   <strong>
    Release Management:
   </strong>
   Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
  </li>
  <li>
   <strong>
    Model Governance:
   </strong>
   Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
  </li>
  <li>
   <strong>
    Incident Response:
   </strong>
   Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
  </li>
  <li>
   <strong>
    Infrastructure Optimization:
   </strong>
   Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
  </li>
  <li>
   <strong>
    Vendor Management:
   </strong>
   Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EDUCATION &amp; SKILLS
  </strong>
 </p>
 <ol>
  <li>
   Educated with at least bachelor&rsquo;s degree or equivalent in related field
  </li>
  <li>
   Education specialization or master&rsquo;s degree in computer science, Software Engineering
  </li>
  <li>
   Proficient in English
  </li>
  <li>
   Preferred proficiency in Arabic
  </li>
  <li>
   Proficiency in Russian, Turkish is a plus.
  </li>
  <li>
   In-depth knowledge of React Native and Next JS and related modules, components and libraries
  </li>
  <li>
   Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
  </li>
  <li>
   Proficiency in Russian, Turkish and Central Asian languages is a plus.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EXPERIENCE &amp; KNOWLEDGE
  </strong>
 </p>
 <ol>
  <li>
   Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
  </li>
  <li>
   2+ years in Data Science or Software Engineering experience
  </li>
  <li>
   2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
  </li>
  <li>
   Strong problem-solving skills and the ability to resolve issues efficiently.
  </li>
  <li>
   CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
  </li>
  <li>
   Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABILITIES &amp; SPECIFIC REQUIREMENTS
  </strong>
 </p>
 <ol>
  <li>
   Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
  </li>
  <li>
   Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
  </li>
  <li>
   Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
  </li>
  <li>
   Credit bureau data structures (tradelines, inquiries, public records)
  </li>
  <li>
   Model risk management (MRM) standards
  </li>
  <li>
   Azure Solutions Architect or MLOps certifications
  </li>
  <li>
   Experience with financial services-grade SLAs (99.9% uptime) and outage management
  </li>
  <li>
   Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
  </li>
  <li>
   Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
  </li>
  <li>
   Knowledge of new and upcoming AI tools
  </li>
  <li>
   This is contained within the earlier requirement of python. If the plan is for this resource
  </li>
  <li>
   Excellent written and verbal communication skills English
  </li>
  <li>
   Strong interpersonal skills with the ability to engage and build relationships
  </li>
  <li>
   Crisis management under pressure
  </li>
  <li>
   Cross-functional collaboration with data science/risk teams
  </li>
  <li>
   Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
  </li>
  <li>
   Ability to develop and document procedures, roles, and guidelines.
  </li>
  <li>
   <strong>
    Security and Compliance
   </strong>
   Especially in financial services, mention data security, PII handling, and compliance with regulations
  </li>
 </ol>
</div>


Machine Learning 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

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)

Nagarro

<div>
 <strong>
  Company Description
  <br/>
  <br/>
 </strong>
 In a changing and evolving world, challenges are ever more unique and complex. Nagarro helps to transform, adapt, and build new ways into the future through a forward-thinking, agile, and caring mindset. Today, we are 18,000+ experts across 37+ countries, forming a Nation of Nagarrians, ready to help our customers succeed.
 <br/>
 <br/>
 The nature of IT &amp; digital product engineering has reached an incredible state of velocity and transition. We must adapt and meet it with an agile mindset that isn't afraid to iterate towards the perfect solution. If we only solve today's problems, it's not enough. We must do more. We must courageously embrace the future, with vision and clarity about where technology &amp; business are heading. Thinking breakthroughs gets us there.
 <br/>
 <br/>
 Nagarro - https://www.nagarro.com/en
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Must have Skills : Generative AI Fundamentals (Strong), Technology Architect - Generative AI, LLM Application Frameworks (Strong), LLM Fine Tuning and Deployment (Strong), Prompt Engineering with LLMs (Strong)
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Job Description
   <br/>
   <br/>
  </strong>
 </strong>
 Data Scientist is expected design, develop, implement scalable ML, GenAI and Agentic AI solutions align with business goals, lead team and ensure code/delivery quality.
 <br/>
 <br/>
 Key responsibilities include create integration architectures, define standards that matches emerging GenAI trends to drive innovation, efficiency and competitive advantage, integrate AI/LLM Models into Applications/APIs, optimize workflows with GenAI tools, leading technical discussions and mentoring junior team members.
 <br/>
 <br/>
 The role also requires experience with backend development, APIs including RAG APIs, Vector databases, cloud platform, production grade solutions code quality &amp; security.
 <br/>
 <br/>
 <strong>
  Regular duties:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design solutions and implement ML, generative AI and agentic AI models and algorithms, utilizing state-of-the-art algorithms.
  </li>
  <li>
   Work on integrating cloud with AI algorithms and On premises AI algorithms.
  </li>
  <li>
   Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
  </li>
  <li>
   Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services.
  </li>
  <li>
   Optimize existing AI models for improved performance, scalability, and efficiency.
  </li>
  <li>
   Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.
  </li>
  <li>
   Drive the team to build AI products and solutions, working in an agile methodology
  </li>
  <li>
   Manage delivery across pods building scalable AI and API services
  </li>
  <li>
   Run standups, sprints, retrospectives, and Jira workflows
  </li>
  <li>
   Drive backend deployment, security reviews, and QA pipelines
  </li>
  <li>
   Coordinate integration of RAG APIs and vector DB pipelines
  </li>
  <li>
   Promote use of code quality agents and modern CI/CD practices
  </li>
  <li>
   Collaborate with the Product Manager/Architect to define deliverables and technical strategy.
  </li>
  <li>
   Drive the integration of AI/ML capabilities into products using market trending libraries.
  </li>
  <li>
   Guide teams through refactoring and codebase optimization using AI-assisted insights.
  </li>
  <li>
   Troubleshoot and resolve issues related to AI models and implementations.
  </li>
  <li>
   Create and maintain documentation for AI models and their applications.
  </li>
  <li>
   Communicate complex technical concepts and findings to non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Skills And Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   A masters/ bachelor degree in computer science engineering
  </li>
  <li>
   10 to 12 years experience in IT Industry and up to 3 years experience in GenAI, Agentic AI Solutioning and Implementation
  </li>
  <li>
   Minimum 2 Year experience in Datarobot for architecting and building GenAI Solutions RAG Agents and Deployment
  </li>
  <li>
   Mentor-first mindset, delivery-driven, team player, excellent communicator
  </li>
  <li>
   Access control, deployment integrity, secure endpoints, compliance awareness
  </li>
  <li>
   Cloud GenAI Solutions Design, Development and Deployment
  </li>
  <li>
   On-Premises GenAI Solutions Design, Development and Deployment
  </li>
 </ul>
</div>


Associate Principal Engineer (Data Scientist - Gen AI, ML)

Deeplight

About the Role <p>We're looking for an experienced and personable GenAI Solutions Architect to join our growing AI delivery team. You'll design and build large language model (LLM) systems that move beyond experimentation and into real-world production - powering search, summarisation, knowledge assistants, and automation for enterprise clients.</p> <p>This is a hands-on, execution-focused role that requires strong stakeholder management skills. You'll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won't be buried in research or building theoretical models; you'll be deploying actual systems that users rely on every day.</p> Requirements What You'll Do <ul> <li>Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines</li> <li>Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant). Experience with Graph RAG architectures and proficiency in Node.js required.</li> <li>Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA / QLoRA, and hybrid approaches, aligning solutions with user goals and constraints</li> <li>Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind</li> <li>Collaborate with cross-functional teams-translating complex GenAI architectures into stable, maintainable features that support product delivery</li> <li>Write and review technical design documents and remain actively involved in implementation decisions</li> <li>Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)</li> </ul> What You'll Bring <ul> <li>Proven background in Machine Learning</li> <li>Proven experience building and deploying GenAI-powered applications, in enterprise or regulated environments</li> <li>Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g. RAG, prompt injection protection, tool use with agents)</li> <li>Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs</li> <li>Experience with vector databases such as FAISS, Qdrant, or Pinecone</li> <li>Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI / CD, monitoring, containerization)</li> <li>Proven experience supporting and/or delivering AI / ML Products</li> <li>A commercial and delivery mindset- you know how to balance speed, quality, and feasibility in fast-moving projects</li> </ul> Nice to Have <ul> <li>Experience building multi-tenant GenAI platforms</li> <li>Exposure to enterprise-grade AI governance and security standards</li> <li>Familiarity with multi-modal architectures (e.g., text + image or audio)</li> <li>Knowledge of cost-optimization strategies for LLM inference and token usage</li> </ul> This Role Is Not For <ul> <li>ML researchers focused on academic model development without delivery / product experience</li> <li>Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture</li> <li>Engineers who haven't shipped GenAI products into production environments</li> </ul> Benefits & Growth Opportunities <ul> <li>Competitive salary and performance bonuses</li> <li>Comprehensive health insurance</li> <li>Professional development and certification support</li> <li>Opportunity to work on cutting-edge AI projects</li> <li>International exposure and travel opportunities</li> <li>Flexible working arrangements</li> <li>Career advancement opportunities in a rapidly growing AI company</li> </ul> <p>This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p>

GenAI Solutions Architect

Chalhoub Group

<div><p><b>INSPIRE | EXHILARATE | DELIGHT</b></p><p>
For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.</p><p>
Every step at Chalhoub Group is taken to build a future where luxury dreams become reality &mdash; bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse &mdash; the Group&rsquo;s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.</p><p>
Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future-proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM. Their collective efforts have earned the Group the Great Place to Work certification in several markets.</p><p>
Sustainability is at the core of the Group&rsquo;s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women&rsquo;s Empowerment Principles, and to have pledged to reach Net Zero by 2040.</p><p><b><br>
What You'll Be Doing</b>
</p><p>We are looking for a <b>Senior Data Scientist </b>to design, build, and continuously improve machine learning models that enable predictive and intelligent decision-making across business functions, ensuring accuracy, fairness, and robustness through rigorous experimentation, tuning, and monitoring.</p><p><b>
Key Accountabilities</b></p><p>
1. Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.</p><p>
2. Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.</p><p>
3. Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.</p><p>
4. Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.</p><p>
5. Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.</p><p>
6. Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.</p><p>
7. Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.</p><p>
8. Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.</p><p>
9. Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.</p><p>
10. Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.</p><p>
11. Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.</p><p>
12. Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
</p><p><b>What You&rsquo;ll Need To Succeed</b>
</p><ul><li>5&ndash;7 years of experience in applied data science or machine learning.</li><li>Strong proficiency in Python, machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM), and experimentation tools (e.g., MLflow, Weights &amp; Biases).</li><li>Solid understanding of model development lifecycle: training, hyperparameter tuning, evaluation, deployment, monitoring.</li><li>Proven experience in feature engineering, including categorical encoding, normalization, and feature importance analysis.</li><li>Knowledge of model performance metrics, statistical validation, and A/B testing approaches.</li><li>Familiarity with bias detection techniques and fairness frameworks.</li><li>Experience with drift detection methods (e.g., population stability index, data drift metrics) and retraining triggers.</li><li>Comfort working with structured and semi-structured data, including tabular and time-series formats.</li><li>Strong collaboration skills; able to work with MLOps, engineering, and product teams in cross-functional environments.</li><li>Working knowledge of MLOps practices (e.g., containerization, CI/CD, model serving) to ensure models are production-ready and scalable.</li><li>Hands-on experience with Azure ML and GCP Vertex AI for model training, deployment, and monitoring.</li></ul><p><b>
What We Can Offer You</b>
</p><p>With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
</p><p>We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.
</p><p><b>We Invite All Applicants to Apply</b></p><p>
It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.</p><p>
We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.</p></div>

Senior Data Scientist

Al Ghurair

<div>
 <strong>
  Job Description
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 </strong>
 Key Responsibilities
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 <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
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 <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

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