Chalhoub Group Senior AI/ML Engineering Manager

About Chalhoub Group

Founded in 1955 by Michel and Widad Chalhoub, Chalhoub Group has grown into a leading partner for luxury across the Middle East. Headquartered in Dubai, the family-owned group brings together international maisons and homegrown concepts across fashion, beauty and lifestyle, combining regional expertise with retail and distribution capabilities. As an employer, it offers career opportunities spanning client experience, brand management, merchandising, logistics and digital innovation. Its multicultural environment connects employees with the evolving expectations of luxury consumers, while its emphasis on learning, entrepreneurship and sustainability provides a distinctive setting for professionals seeking to shape the region’s luxury landscape.

Role & Responsibilities

• Lead technical design and architecture for enterprise AI/ML solutions, model deployment pipelines, and generative AI orchestration on the Alia enterprise GenAI platform and other cloud AI platforms.
• Drive the design and delivery of agentic AI workflows and inference API integrations, covering real-time and batch inference services across enterprise systems.
• Evaluate, select, implement, and promote AI tools and services, including LLM providers, agent frameworks, and AI developer tools.
• Set AI/ML engineering standards, reusable patterns, and best practices for model development, experiment tracking, deployment, and monitoring.
• Architect scalable model-training and MLOps pipelines across cloud AI platforms, including Azure AI, Google Vertex AI, and AWS SageMaker; incorporate feature stores, model versioning, and CI/CD for models, and ensure production reliability, cost observability, and incident runbooks for model services.
• Lead advanced prompt engineering and LLM interaction design, including retrieval-augmented generation and vector database integration.
• Establish model performance metrics, including accuracy, F1, AUC, precision, and recall; LLM evaluation metrics, including relevance, groundedness, and hallucination rate; drift detection for data and predictions; and retraining strategies and triggers.
• Own responsible AI standards, including fairness, bias detection and mitigation, model cards, and decision logging for auditability and governance.
• Connect model outputs to business KPIs and value creation, such as time saved, conversion, and revenue impact, in partnership with product and business teams.
• Mentor and guide AI/ML engineers, review designs and code, and develop squad capability.

Qualifications

• At least 7 years of experience in AI/ML engineering, data science, or machine learning, including technical design leadership and mentoring engineers.
• Deep expertise in Python and machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn; strong data-handling skills with Pandas and NumPy; and experiment-tracking experience with MLflow.
• Strong SQL skills for data exploration, feature engineering, and working with cloud data warehouses such as BigQuery and 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, including OpenAI, Anthropic Claude, Google Gemini, and open-source models; orchestration frameworks such as LangChain, LangGraph, and LlamaIndex; and evaluation, guardrail, and LLM observability tools such as LangSmith and Langfuse.
• Hands-on experience architecting MLOps pipelines—including feature stores, model versioning, CI/CD, and monitoring—across cloud AI platforms such as Azure AI and GCP, with REST and GraphQL API integration.
• Strong grasp of the full model development lifecycle, including feature engineering, hyperparameter tuning, evaluation, deployment, drift detection, and retraining.
• Experience embedding responsible AI practices, including fairness, bias detection, and model cards, and linking model outcomes to measurable business value.
• Hands-on experience using AI coding assistants such as Claude Code, GitHub Copilot, and Cursor for AI-assisted development.

Skills

Experience

At least 7 years in AI/ML engineering, data science, or machine learning, including technical design leadership and mentoring engineers.

Benefits

Health care, child education contribution, remote and flexible working policies, exclusive employee discounts, learning and development opportunities, and internal mobility.

Culture

Chalhoub Group combines its heritage as a family-owned business with the dynamism of the Middle East’s luxury sector, fostering a multicultural workplace rooted in collaboration and long-term relationships. Its culture emphasizes continuous learning, entrepreneurial initiative and excellence in customer experience, encouraging employees to develop their expertise while contributing to the evolution of luxury retail.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.