- Employment
- Full-Time
- Seniority
- Senior
- Department
- IT & Technology Systems
- Posted
- Nov 9, 2026
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.
Chalhoub Group’s Capability Hub is seeking a Senior Machine Learning Engineer in Bengaluru to develop production-grade predictive ML models and generative AI capabilities, build MLOps pipelines, and provide technical guidance to engineers. The role works across the Layla advisor and Alia enterprise GenAI platform, partnering with data engineering, MLOps, and product teams to bring models into production.
Role & Responsibilities
- Develop and optimize production-grade predictive machine learning models for use cases including demand forecasting, inventory optimization, and the Layla advisor.
- Construct and maintain MLOps training pipelines across cloud AI platforms such as Azure AI, Google Vertex AI, and AWS SageMaker, including experiment tracking, model versioning, and reproducible training.
- Write and optimize advanced LLM prompt interaction logic for the Alia enterprise GenAI platform, including retrieval-augmented generation and vector database integration.
- Build and implement generative AI and agentic solutions using LLM APIs and orchestration frameworks, and help evaluate and adopt new AI tools within the squad.
- Engineer features and build feature stores using SQL and Python; work with structured, semi-structured, and time-series data to improve model performance, precision, and recall.
- Deploy and integrate real-time and batch model inference endpoints into production systems via REST and GraphQL APIs.
- Establish model performance metrics, including accuracy, F1, and AUC, and LLM evaluation metrics such as relevance, groundedness, and hallucination rate; monitor model drift and define retraining strategies and triggers.
- Apply fairness and bias-mitigation techniques and support responsible AI and model governance practices.
- Connect model outputs to business KPIs and value creation; document models, experiments, and assumptions to support reproducibility and reuse.
- Provide technical guidance and mentoring to AI/ML engineers, and collaborate with data engineering, MLOps, and product teams to integrate models into production.
Qualifications
- Minimum 5 years of experience in applied machine learning or AI engineering.
- Strong proficiency in Python and machine learning frameworks: TensorFlow, PyTorch, and Scikit-learn; experience with feature engineering and experiment tracking using MLflow.
- Strong SQL skills for data exploration, feature engineering, and working with cloud data warehouses such as BigQuery and Snowflake.
- Hands-on experience constructing MLOps training pipelines across Azure AI and GCP, including model versioning and monitoring.
- Experience with generative AI and large language models, including prompt engineering, retrieval-augmented generation, and vector databases.
- Hands-on experience implementing AI solutions with LLM APIs and models such as OpenAI, Anthropic Claude, Google Gemini, and open-source models; orchestration frameworks such as LangChain, LangGraph, and LlamaIndex; and tools for evaluation, guardrails, and LLM observability such as LangSmith and Langfuse.
- Solid grasp of the model development lifecycle: training, hyperparameter tuning, evaluation, deployment, drift detection, and retraining.
- Experience deploying model inference endpoints via REST and GraphQL APIs, with fairness, bias mitigation, and responsible AI practices.
- Hands-on experience with AI coding assistants such as Claude Code, GitHub Copilot, and Cursor for AI-assisted development.
Skills
Experience
Minimum 5 years in applied machine learning or AI engineering.
Workplace
This position is based in Bengaluru, Karnataka, India.
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Benefits
Health care, child education contribution, remote and flexible working policies, employee discounts, learning and development opportunities, exposure to different assignments, 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.