ml engineer

Salient Group

<div>
 
 
 AI / ML Engineer
 
 
 
 
 Dubai, UAE
 
 
 
 
 $220k-$250k + Equity
 
 
 
 
 
 
 We&rsquo;re working with a frontier AI company that builds and deploys AI systems for the world&rsquo;s most important institutions, automating billion-dollar processes, unlocking national productivity, and modernising the infrastructure of society itself. This is not research for research&rsquo;s sake. This is applied AI, deployed in the real world.
 
 
 
 
 
 They are backed by some of the world&rsquo;s most respected founders and AI pioneers, and built a 40+ person team from tier-1 companies. Now, they&rsquo;re expanding globally and looking for engineers who want to own the deployment of AI that changes how the world works.
 
 
 
 
 
 
 The Role
 
 
 
 As an
 
 AI/ML Engineer
 
 , you&rsquo;ll turn state-of-the-art models into production-grade systems that power national-scale change. You&rsquo;ll design, deploy, and optimise AI applications that automate some of the hardest real-world processes from energy and healthcare to government operations.
 
 
 
 
 
 You&rsquo;ll be embedded in small, elite teams that own problems end-to-end: architecture, data, model design, deployment, and iteration. No silos. No bureaucracy. Just impact.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and deploy applied AI systems: from LLMs and agentic reasoning models to scalable data pipelines and production infrastructure.
 </li>
 <li>
 Solve world-scale problems: automate complex workflows, improve public outcomes, and optimise critical national systems.
 </li>
 <li>
 Collaborate with leaders and clients: work directly with government officials, enterprise executives, and industry veterans to translate ideas into deployed solutions.
 </li>
 <li>
 Operate like a founder: own delivery, make decisions fast, and help shape the next generation of applied AI tooling.
 </li>
 <li>
 Stay ahead of the curve: explore the latest GenAI, LLM, and reasoning research to push models from theory to practice.
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You&hellip;
 
 
 <ul>
 <li>
 Have hands-on experience building GenAI or LLM-based applications (agents, RAG, reasoning models).
 </li>
 <li>
 Know your way around Python, PyTorch, JAX, or TensorFlow, with strong software engineering fundamentals.
 </li>
 <li>
 Can work across data pipelines, APIs, and production deployments with speed and precision.
 </li>
 <li>
 Enjoy autonomy, creative problem-solving, and owning solutions end-to-end.
 </li>
 <li>
 Want your work to matter to see it deployed across industries, governments, and communities.
 </li>
 </ul>
 
 
 
 
 
 Why Join
 
 
 <ul>
 <li>
 Build at frontier scale: ship real systems used by governments, hospitals, and energy leaders worldwide.
 </li>
 <li>
 Elite peers: collaborate with engineers and researchers from tier-1 places.
 </li>
 <li>
 Move fast, own outcomes: you&rsquo;ll ship code in weeks, not quarters.
 </li>
 <li>
 Meaningful rewards: competitive comp, equity, and ownership tied to real impact.
 </li>
 <li>
 Support to thrive: daily lunches, full benefits, 401(k), and unlimited PTO.
 </li>
 </ul>
 
 
 
 
 If you want to build AI that doesn&rsquo;t just predict but powers economies, saves lives, and redefines what&rsquo;s possible , this is where you do it.
 
 
 
 
 
 Join the team building AI that actually ships. Get in touch with danny@salientgroup.com.au for more information.
 
</div>

Machine Learning Engineer

ClearVUE.Business

<div>
 
 
 Hi, we're ClearVUE Dubai
 
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 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.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 What exactly will you do?
 
 
 
 
 
 <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
 
 OpenAI, Hugging Face, and LangChain
 
 , applying
 
 Retrieval-Augmented Generation (RAG)
 
 and
 
 Model Context Protocol (MCP)
 
 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>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3 &ndash; 5 years of experience working as an
 
 AI Engineer
 
 or similar role.
 </li>
 <li>
 Bachelor&rsquo;s Degree in
 
 Computer Science, Data Science, Engineering, Maths, Physics
 
 , or a related field.
 </li>
 <li>
 Hands-on experience with
 
 Python
 
 ,
 
 data analysis
 
 , or
 
 machine learning
 
 .
 </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
 
 pandas
 
 ,
 
 NumPy
 
 , and
 
 SQL
 
 .
 </li>
 <li>
 Experience with
 
 scikit-learn
 
 ,
 
 TensorFlow
 
 , or
 
 PyTorch
 
 , and familiarity with LLM frameworks such as
 
 OpenAI API
 
 or
 
 LangChain
 
 .
 </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>
 
 
 
 
 
 Nice to Have (but not expected)
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in related field.
 </li>
 <li>
 Experience implementing
 
 RAG pipelines
 
 or
 
 MCP-based integrations
 
 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>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 💎
 
 Compensation Package:
 
 We offer a
 
 monthly base salary of 16,000 AED
 
 , plus
 
 comprehensive medical insurance.
 
 
 
 🌍
 
 Purpose-Driven Impact:
 
 Play a vital role in fighting climate change. Your work will directly contribute to reducing global carbon emissions and improving sustainability for businesses worldwide.
 
 
 🚀
 
 Ongoing Support and Development:
 
 Receive ongoing training, mentorship, and guidance from industry experts to help you build skills and develop professionally every step of the way.
 
 
 📈
 
 Clear Path to Advancement:
 
 We believe in nurturing our own; promotions from within are our specialty.
 
 
 
 
 
 
 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.
 
 
</div>

AI Engineer

Deriv

<div>
 
 The challenge
 
 
 You&rsquo;re leaving the safety of Jupyter notebooks to wrestle with the tension of stochastic models in a deterministic financial world. You&rsquo;ll encounter a codebase processing millions of transactions where "it works on my machine" is not a valid defence, bridging the gap between tutorial implementations and high-scale systems to build co-intelligence that decides and executes without a human holding its hand.
 
 
 See what we&rsquo;re shipping at Deriv.
 
 
 
 Why this matters
 
 
 
 
 
 Deriv's mission is Trading for Anyone, Anywhere, Anytime. Millions of traders, around the clock. This scale demands AI that works in production, not prototypes that demo well.
 
 
 We're already here: AI resolving 65%+ of customer enquiries, writing and reviewing code, processing invoices, and screening candidates. Not experiments. Production systems you'll help extend.
 
 
 
 Why Deriv
 
 
 Learn by building, not by watching. Here's where you'll do it:
 
 
 <ul>
 <li>
 Customer experience: Building AI that handles conversation, outreach, and lifecycle management.
 </li>
 <li>
 Developer infrastructure: Building the systems that build systems (Spec-to-PR, QA automation, security scanning).
 </li>
 <li>
 Business functions: Building the AI that runs Deriv (finance workflows, HR automation).
 
 
 </li>
 </ul>
 Your placement depends on team needs and your interests. You'll likely focus on one area but touch several, with real ownership and support along the way.
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Build features that go to production: You won't just write scripts; you'll ship code that runs in live environments.
 </li>
 <li>
 Work across three paradigms: You'll learn to combine deterministic systems (code), predictive models (ML), and agentic systems (LLMs).
 </li>
 <li>
 Learn from failure: You'll understand why guardrails matter when a 1% error rate means thousands of wrong decisions.
 </li>
 <li>
 Pair with experienced engineers: You'll own small features end-to-end with guidance from senior mentors.
 
 
 </li>
 </ul>
 
 Who you are
 
 
 <ul>
 <li>
 You write code that runs: Python or another language you genuinely enjoy. You know syntax is easy; making things work in production is where it gets interesting.
 </li>
 <li>
 You've touched ML or LLMs: Courses, side projects, experiments. Enough to know what you don't know yet.
 </li>
 <li>
 You deliver reliably: You distinguish urgent from important and keep your promises on delivery dates.
 </li>
 <li>
 You're comfortable being wrong: You'll ship code that breaks. That's how you learn&mdash;if you can admit it and fix it.
 
 
 </li>
 </ul>
 
 Tech stack
 
 
 <ul>
 <li>
 Languages: Python, TypeScript
 </li>
 <li>
 AI/ML: OpenAI APIs, Anthropic APIs, LangGraph, Custom ML Pipelines
 </li>
 <li>
 Infrastructure: AWS, PostgreSQL, Redis, Docker, LangFuse
 
 
 </li>
 </ul>
 
 The honest reality
 
 
 This is demanding work. You'll face problems without clear answers. You'll ship code that breaks and fix it under pressure. Some weeks will be frustrating.
 
 
 But you'll ship AI that runs&mdash;not demos, not prototypes. You'll see your work handling real transactions. And you'll grow fast.
 
 
 
 
 
 
 
 
</div>

Applied AI Engineer

Property Finder

<div>
 
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 
 
 
 
 
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are looking for a highly experienced
 
 Data Scientist
 
 with foundational skills in
 
 Machine Learning Engineering, and Generative AI
 
 to join our innovative AI &amp; Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.
 
 
 This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
 </li>
 <li>
 Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
 </li>
 <li>
 Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
 </li>
 <li>
 Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
 </li>
 <li>
 Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
 </li>
 <li>
 Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
 </li>
 <li>
 Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
 </li>
 <li>
 Continuously optimize model performance for scalability, efficiency, and real-world reliability.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 <ul>
 <li>
 Partner with the Data Platform and Engineering teams to optimize model deployment and operational workflows.
 </li>
 <li>
 Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 Experience: At least 3+ years in Data Science or MLE roles and foundational MLOps practices.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
 </li>
 <li>
 Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
 </li>
 <li>
 Experience with API development and connecting AI systems to external platforms.
 </li>
 <li>
 Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
 </li>
 <li>
 Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
 </li>
 <li>
 Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
 </li>
 <li>
 Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Effective communication and collaboration skills, particularly in cross-functional environments.
 </li>
 <li>
 Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
 </li>
 <li>
 Collaborate with top talent across diverse teams and disciplines.
 </li>
 <li>
 Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Data Scientist

Deeplight

About the Role 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. 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. 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> 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.

GenAI Solutions Architect

Chalhoub Group

<div>
 
 INSPIRE | EXHILARATE | DELIGHT
 
 
 
 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.
 
 
 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.
 
 
 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&reg; certification in several markets.
 
 
 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.
 
 
 
 What You'll Be Doing
 
 
 
 We are looking for a
 
 Senior Data Scientist
 
 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.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
 </li>
 <li>
 Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
 </li>
 <li>
 Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
 </li>
 <li>
 Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
 </li>
 <li>
 Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
 </li>
 <li>
 Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
 </li>
 <li>
 Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
 </li>
 <li>
 Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
 </li>
 <li>
 Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
 </li>
 <li>
 Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
 </li>
 <li>
 Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
 </li>
 <li>
 Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <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>
 
 What We Can Offer You
 
 
 
 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.
 
 
 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.
 
 
 
 We Invite All Applicants to Apply
 
 
 
 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.
 
 
 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.
</div>

Senior Data Scientist

<div>INSPIRE | EXHILARATE | DELIGHT
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.
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.
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.
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. 
What You'll Be Doing
We are looking for a Senior Data Scientist 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.
Key Accountabilities
1. Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
2. Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
3. Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
4. Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
5. Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc., depending on use case.
6. Develop strategies for detecting model drift, including statistical monitoring of input data and prediction shifts.
7. Define retraining strategies and triggers based on performance degradation, data shifts, or periodic review cycles, in collaboration with MLOps and platform teams.
8. Ensure fairness and mitigate model bias, applying techniques to identify and reduce demographic or systemic disparities.
9. Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
10. Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
11. Apply generative AI techniques, including LLM fine-tuning, embeddings, and retrieval-augmented generation, to support NLP and conversational use cases.
12. Link model outputs to Success KPIs by quantifying value creation (e.g., time saved, accuracy improvements, or revenue impact).
What You&rsquo;ll Need To Succeed
<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>
What We Can Offer You
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.
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.
We Invite All Applicants to Apply
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.
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.</div>

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