MLOps Engineer 9Core ML + MLOps

About the role

Actuarial & Forecasting Analytics Exposure is an Added Advantage The EL3 Databricks MLOps Engineer is a senior hands-on role responsible for enabling end-to-end machine learning lifecycle automation on Databricks.

What you'll do

• Enable and automate the end-to-end ML lifecycle on Databricks (environment setup, model workflow automation, job scheduling, monitoring hooks)
• Build frameworks, templates, and utilities that make ML development and experimentation reproducible and scalable
• Implement CI/CD pipelines using Git, GitHub Actions, Jenkins, Azure DevOps, or similar tools
• Package, version, and deploy ML models into Databricks-managed execution environments
• Set up automated workflows for training, retraining, evaluation, and scheduled job execution

What you need

• 6–9 years in data science & ai
• Machine learning
• MLOps
• Python
• LLMs
• Databricks
• Spark
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Actuarial
• CI/CD
• Azure
• Scala
• Git
• Jenkins