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 solid 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.

📌 Databricks & Mlops Engineer Bengaluru
🏢 Vidushi Infotech
📍 Bengaluru