Quick take: Databricks seeks MLOps Engineers (4+ years, ₹40–90 LPA) in Bengaluru. Core ML infrastructure role requiring Databricks platform, MLflow, Kubernetes expertise. Direct apply via databricks.com/careers. Private-sector direct hiring—fully GPS eligible.
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.
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.
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.
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.
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