Senior Data Engineer

About the role

The MLOps Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog.

What you'll do

• A. MLOps Platform Engineering
• Design, build, and maintain the end-to-end MLOps platform on Azure Databricks — covering experiment tracking (MLflow), model registry, Feature Store
• ? Implement CI/CD pipelines for ML code (Databricks Asset Bundles / DABs, Azure DevOps, GitHub Actions) ensuring reproducible model builds, automated testing
• ? Govern the full model lifecycle: versioning, lineage tracking via Unity Catalog, promotion workflows (Dev ? Staging ? Production), and model archival with audit trails
• ? Establish and maintain Feature Store — curated, reusable feature sets across credit risk, fraud, customer propensity, and collections models — ensuring data freshness

What you need

• 2–4 yrs of experience
• Machine learning
• SQL
• MLOps
• LLMs
• Databricks
• Azure
• B.Tech or B.E. or M.Tech

Good to have

• Unity
• CI/CD
• Test automation
• Credit risk
• Data privacy
• KYC