Databricks & MLOps Engineer

Vidushi Infotech; Bengaluru; Remote; INR 900,000 - 1,500,000; Full time

Job summary

Vidushi Infotech is seeking an experienced Databricks & MLOps Engineer to serve as the Databricks Technical Lead for a client program. The candidate will work with migration and delivery teams, offering technical guidance, governance, and hands-on support to ensure successful Databricks adoption.

The role requires strong experience in MLOps, ML engineering, Databricks, model deployment, and automated ML pipelines, with responsibilities to design pipelines and establish best practices across the

Qualifications

• 5–8 years of professional experience in data engineering or a related field.
• Minimum 2 years of MLOps experience.
• Strong experience with the Databricks platform and ML model deployment.
• Proven ability to design and implement automated ML pipelines.

Responsibilities

• Act as the technical lead for Databricks within the client program.
• Provide technical guidance, governance and implementation support to migration and delivery teams.
• Onboard and migrate assets to the Databricks platform.
• Design and develop Databricks-native data and ML pipelines.
• Build and maintain automated ML pipelines with triggers for refresh and retraining.
• Establish and implement MLOps best practices across the ML lifecycle.
• Deploy and manage ML models in production using appropriate frameworks and tools.
• Translate business and technical requirements into scalable ML engineering solutions.
• Ensure models are production-ready, maintainable, and scalable.
• Bridge between migration and delivery teams to ensure consistent architecture.
• Provide coaching and hands-on support to the engineering team.

Skills

Databricks

MLOps

ML Engineering

ML Deployment

Automated ML Pipelines

Production ML

ML Platform Governance

Technical Leadership

Tools

Databricks

Job description

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.