MLOps Engineer — Databricks India

About this MLOps Engineer role at Databricks

Databricks, a leader in AI and data platforms, is hiring MLOps Engineers in Bengaluru for a mid-level, permanent position. As an MLOps Engineer, you'll bridge machine learning development and operations, ensuring models run reliably at scale on the Databricks platform. This is a direct-apply opportunity in India's thriving AI tech hub.

What you'll do

• Build and maintain machine learning pipelines and infrastructure on the Databricks platform
• Manage model deployment, versioning, and lifecycle tracking using MLflow
• Implement containerization and orchestration with Kubernetes for production ML systems
• Set up model monitoring, alerting, and performance tracking to detect drift and failures
• Collaborate with data scientists and engineers to streamline ML workflows and reduce time-to-production
• Troubleshoot and optimize ML infrastructure for reliability and cost-efficiency

Who should apply

You'll need 4+ years of hands-on MLOps or machine learning engineering experience. This is a mid-level role, so you should be comfortable building and owning end-to-end ML systems. The JD emphasizes Databricks platform expertise, MLflow knowledge, and Kubernetes proficiency. If you've deployed models to production and managed ML infrastructure, you're a strong fit.

Salary & offer in context

Databricks offers ₹40–90 LPA (roughly ₹3,33,000–₹7,50,000/month) for this MLOps Engineer position in Bengaluru. This range reflects India's competitive AI engineer salary market, where mid-level MLOps engineers command premium compensation due to high demand and specialized expertise in production ML systems.

Path to apply

This is a direct online application through Databricks' careers portal — no exam or formal selection process beyond the standard interview rounds. The application deadline is 9 June 2026, so apply soon if this role interests you. Databricks typically moves quickly with candidates who have the required Databricks, MLflow, and Kubernetes hands-on experience.