Senior Data Engineer (Data Intelligence)
ML/AI engineering role on Chalhoub Group's Data Intelligence team: builds production predictive models (demand forecasting, inventory optimization) and GenAI/LLM capabilities for the enterprise Alia platform. Daily work spans Python/SQL feature engineering, MLOps pipelines on Azure AI and GCP, RAG, and LLM orchestration frameworks.
- Compensation
- Not disclosed
- Location
- Bengaluru, IN
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Minimum 5 years of experience in applied machine learning or AI engineering
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn), with feature engineering and experiment tracking (MLflow)
- Strong SQL skills for data exploration, feature engineering, and cloud data warehouses (e.g. BigQuery, Snowflake)
- Hands-on experience constructing MLOps training pipelines across Azure AI and GCP, with model versioning and monitoring
- Experience with generative AI and LLMs, including prompt engineering, retrieval-augmented generation, and vector databases
- Hands-on experience with LLM APIs/models (e.g. OpenAI, Anthropic Claude, Google Gemini, open-source), orchestration frameworks (e.g. LangChain, LangGraph, LlamaIndex), and LLM evaluation/observability
- 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 (e.g. Claude Code, GitHub Copilot, Cursor)
Full description
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
Develop and optimize production-grade predictive ML models and generative AI capabilities, constructing MLOps training pipelines and advanced LLM interaction logic while providing technical guidance to other engineers.
•Develop and optimize predictive ML models for use cases such as demand forecasting and inventory optimization, and the Layla advisor.
•Construct and maintain MLOps training pipelines across cloud AI platforms (e.g. Azure AI, Google Vertex AI, AWS SageMaker), including experiment tracking, model versioning, and reproducible training.
•Write and optimize advanced LLM prompt interaction logic for the company's enterprise GenAI platform (Alia), 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.