Databricks & MLOps Engineer

Databricks & MLOps Engineer

• Experience: 5 to 8 Years
• MLOps Experience: Minimum 2 Years
• Location: Remote India

Role Overview

We are looking for an experienced Databricks & MLOps Engineer to serve as the Databricks Technical Lead for a client program.

The candidate will work closely with the migration and delivery teams, providing technical guidance, governance, implementation support, and hands-on expertise to ensure successful adoption and long-term sustainability of the Databricks platform.

The role requires strong experience in MLOps, ML Engineering, Databricks, ML model deployment, and automated ML pipelines.

Key Responsibilities

• Act as the technical lead for Databricks within the client program.
• Partner closely with the migration team to provide technical guidance, governance, and implementation support.
• Ensure successful onboarding and migration of existing assets to the Databricks platform.
• Design and develop Databricks-native data and ML pipelines.
• Build and maintain automated ML pipelines with scheduled triggers for model refresh and retraining.
• Establish and implement MLOps best practices across the ML lifecycle.
• Deploy and manage ML models in production using appropriate MLOps frameworks and tools.
• Assess business and technical requirements and translate them into scalable ML engineering solutions.
• Ensure ML models are production-ready, maintainable, and scalable.
• Work as a bridge between migration and delivery teams to ensure consistent architecture and effective platform utilization.
• Provide coaching, technical guidance, and hands-on support to the existing engineering team.
• Contribute to the governance, architecture, performance, and long-term sustainability of the Databricks ecosystem.
• Troubleshoot and resolve issues related to ML pipelines, model deployment, and Databricks workloads.