Senior MLOps Engineer (Databricks)

MLOps Engineer — Databricks

Client: A large global enterprise (name not disclosed)

Location: India

Work Model: 100% Remote

Contract: 6 months (initial) with possibility of extension

Start Date: ASAP

Engagement: Full-time / Long-term contract

Role Overview

You will support end-to-end ML lifecycle management on Databricks, including developing pipelines, orchestrating ML workflows, and operationalizing data science models in an enterprise environment.

Key Responsibilities

• Develop ML pipelines using Databricks Jobs, Repos, Workflows
• Manage and automate ML lifecycle with MLflow (tracking, registry, deployments)
• Build scalable feature pipelines using Spark and Delta Lake
• Implement CI/CD pipelines for Databricks environments
• Monitor production ML models and ensure reliability & performance
• Optimize Databricks compute usage and cluster costs
• Collaborate with data science, data engineering, and cloud teams

Required Experience

• 4–7 years in MLOps, Data Engineering, or ML Engineering
• Strong experience with Databricks in large-scale production settings
• Proficiency with MLflow
• Hands-on with Spark (Python or Scala)
• CI/CD experience (GitHub Actions, Azure DevOps, Jenkins, etc.)
• Familiarity with cloud platforms (AWS/Azure)

Nice to Have

• Experience with Databricks Feature Store
• Experience working in highly regulated and large global enterprises
• Knowledge of Airflow or orchestration tools