What you'll be doing

- Implement machine learning algorithms and 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 companys 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Data Intelligence) (Bengaluru)
🏢 Chalhoub Group
📍 Bengaluru