# Senior Data Engineer (Data Intelligence) at Chalhoub Group

Chalhoub Group is hiring a Senior Data Engineer (Data Intelligence) in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Chalhoub Group](https://jobsbylevel.com/go/fd61c6dc-dd71-46ec-9da5-2046dee6030b?utm_medium=ai-agent).

AI Level 4, AI centrality 80 out of 100. Bengaluru, India.

## Details

- Company: [Chalhoub Group](https://jobsbylevel.com/companies/chalhoub-group)
- AI level: AI Level 4 (score 80 out of 100)
- Location: Bengaluru, India
- Posted: October 26, 2026
- Apply: https://jobsbylevel.com/go/fd61c6dc-dd71-46ec-9da5-2046dee6030b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-data-intelligence-at-chalhoub-group-2aa03c

## Prepare for this job

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## 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. •Engineer features and build feature stores using SQL and Python , working with structured, semi-structured, and time-series data to improve model performance, precision, and recall. Data and AI Reports to Senior Manager, Data Intelligence Bengaluru. • Deploy and integrate model inference endpoints, both real-time and batch, via REST and GraphQL APIs into production systems. • Establish model performance metrics (accuracy, F1, AUC) and LLM evaluation metrics (e.g. relevance, groundedness, hallucination rate), and monitor for model drift, defining retraining strategies and triggers. • Apply fairness and bias-mitigation techniques and support responsible AI and model governance practices. • Link model outputs to business KPIs and value creation, and document models, experiments, and assumptions for 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. What you’ll need to succeed • Minimum 5 years of experience in applied machine learning or AI engineering. • Strong proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), with feature engineering and

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