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

• D. Databricks Apps & Self-Serve AI
• ? Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems
• ? Integrate Databricks Apps with Unity Catalog row/column-level security
• ? Build reusable application templates and deployment blueprints for common use cases (credit decisioning dashboards, collections intelligence tools
• E. Monitoring, Observability & Governance

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
• KYC
• Power BI
• Test automation
• Credit risk