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Chalhoub Group

Data Engineer (Data Intelligence)

Chalhoub Group is hiring a Data Engineer (Data Intelligence) in Bengaluru, India. Level rates it ; you can apply on Chalhoub Group.

Level's read on this job

  • Level rates this data engineer role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include OpenAI, Claude and Anthropic.
  • Level classifies it as a mid-level role.
  • Level lists 164 other open roles at Chalhoub Group.
  • The role was posted in the last few days.

AI in this role

Implement machine learning algorithms, model inference endpoints, and generative AI features including RAG and prompt engineering.

openaiclaudeanthropicgeminicopilotlangchainllamaindexvertex-aitensorflowscikit-learnsagemakercursor+3
ragml-opsai-evaluationmachine-learningfeature-storemodel-inferenceprompt-engineeringgenerative-ai

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  

Implement machine learning algorithms and feature stores, build and deploy model inference endpoints, and develop and test prompt templates for the Group's internal generative AI tools.

• Implement machine learning algorithms and build feature stores to support model development.

• Build and deploy model inference endpoints via REST APIs into production.

• Write and test prompt templates for internal generative AI tools on the company's enterprise GenAI platform (Alia).

• Build and integrate generative AI features using LLM APIs and frameworks, including basic retrieval-augmented generation components.

• Prepare and engineer features from structured and semi-structured datasets using Python (Pandas, NumPy, Scikit-learn).

• Train, evaluate, and tune models using appropriate techniques and metrics (accuracy, precision, recall) to support performance.

• Support MLOps pipelines and model versioning across cloud AI platforms (e.g. Azure AI, Google Vertex AI, AWS SageMaker), and monitor deployed models for performance and drift.

• Document model implementations, experiments, and test results for reproducibility.

• Collaborate with senior engineers on model integration and with data engineering teams on data readiness.

 What you’ll need to succeed 

• Minimum 3 years of experience in machine learning or AI engineering.

• Proficiency in Python and machine learning libraries (Pandas, NumPy, Scikit-learn, TensorFlow).

• Solid SQL skills for querying and preparing data from databases and cloud data warehouses (e.g. BigQuery, Snowflake).

• Experience building and deploying model inference endpoints via REST APIs.

• Familiarity with generative AI and prompt template development for GenAI tools,including LLM APIs (e.g. OpenAI, Anthropic Claude, Google Gemini) and basic retrievalaugmented generation concepts.

• Exposure to AI frameworks and tools such as LangChain or LlamaIndex, and vector databases.

• Working knowledge of cloud AI platforms (Azure AI, GCP), model evaluation metrics, and basic MLOps concepts (model versioning, monitoring).

• Experience working with structured and semi-structured data and feature engineering.

• 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.

How we rate this

Data Engineer (Data Intelligence) at Chalhoub Group rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGML OpsAI EvaluationMachine learningFeature StoreModel InferencePrompt engineeringGenerative AI

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. How do you decide that one model's output is better than another's for a given task?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where feature store was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: RAG, ML Ops, AI Evaluation, Machine learning, and Feature Store. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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