Sr. Manager Data Engineer (Data Intelligence)

About the job

INSPIRE | EXHILARATE | DELIGHT

Chalhoub Group’s Capability Hub is our technology and innovation hub set up with the vision to unite exceptional talent to build technology and capabilities that elevate luxury experiences and define the future of luxury retail.

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 — 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 — the Group’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.

Sustainability is at the core of the Group’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’s Empowerment Principles, and to have pledged to reach Net Zero by 2040.

What you'll be doing

Lead the technical design of enterprise AI/ML and generative AI solutions, setting engineering standards and mentoring the AI squad to deliver production-grade models, deployment pipelines, and GenAI orchestration across the Group's Alia platform.

• Lead the technical design and architecture of enterprise AI/ML solutions, model deployment pipelines, and generative AI orchestration on the company's enterprise GenAI platform (Alia) and other cloud AI platforms.

• Drive the design and delivery of agentic AI workflows and inference API integration, spanning real-time and batch inference services, across enterprise systems.

• Evaluate, select, and implement AI tools and services, including LLM providers, agent frameworks, and AI developer tooling, and drive their adoption across the squad.

• Set AI/ML engineering standards, reusable patterns, and best practices for model development, experiment tracking, deployment, and monitoring across the squad.

• Architect scalable model training and MLOps pipelines across cloud AI platforms (e.g. Azure AI, Google Vertex AI, AWS SageMaker), including feature stores, model versioning, and CI/CD for models, ensuring production reliability, cost observability, and incident runbooks for model services.

• Lead advanced prompt engineering and LLM interaction design, including retrievalaugmented generation and vector database integration, for generative AI use cases.

• Establish model performance metrics (accuracy, F1, AUC, precision, recall) and LLM evaluation metrics (e.g. relevance, groundedness, hallucination rate), drift detection (data and prediction drift), and retraining strategies and triggers.

• Own responsible AI standards, including fairness, bias detection and mitigation, model cards, and decision logging for auditability and governance.

• Link model outputs to business KPIs and value creation, such as time saved, conversion, or revenue impact, partnering with product and business teams.

• Mentor and provide technical guidance to AI/ML engineers, reviewing designs and code and growing squad capability.

What you’ll need to succeed

• Minimum 7 years of experience in AI/ML engineering, data science, or machine learning,

including leading technical design and mentoring engineers.

• Deep expertise in Python and machine learning frameworks (TensorFlow, PyTorch,

Scikit-learn), with strong data handling (Pandas, NumPy) and experiment tracking

(MLflow).

• Strong SQL skills for data exploration, feature engineering, and working with cloud data warehouses (e.g. BigQuery, Snowflake).

• Strong experience with generative AI and large language models, including prompt engineering, retrieval-augmented generation, agentic workflows, and vector databases.

• Hands-on experience implementing AI solutions with LLM APIs and models (e.g. OpenAI, Anthropic Claude, Google Gemini, open-source models), orchestration frameworks (e.g. LangChain, LangGraph, LlamaIndex), and supporting tools for evaluation, guardrails, and LLM observability (e.g. LangSmith, Langfuse).

• Hands-on experience architecting MLOps pipelines (feature stores, model versioning, CI/CD, monitoring) across cloud AI platforms (Azure AI, GCP), with REST and GraphQL API integration.

• Strong grasp of the full model development lifecycle: feature engineering, hyperparameter tuning, evaluation, deployment, drift detection, and retraining.

• Experience embedding responsible AI practices (fairness, bias detection, model cards) and linking model outcomes to measurable business value.

• Hands-on experience with AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor) for AI-assisted development.

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.

Using GenAI in Your Application Process

To support a fair and consistent experience for all candidates, we ask that assessments and interviews are completed independently and without assistance from generative AI tools. This ensures we understand your strengths, your thinking, and how you approach real situations.

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.