Lead Mlops Engineer

Overview

Lead the design, delivery and operation of production-grade MLOps and AIOps capabilities for ML, AI and GenAI/agent systems. Provide hands-on engineering and technical leadership across deployment, infrastructure, observability and lifecycle management.

What you'll do

• Design and maintain CI/CD pipelines for ML, AI and agent systems.
• Deploy and operate production ML models and AI agents.
• Develop containerisation and orchestration strategies.
• Architect and manage GCP infrastructure using Terraform.
• Implement monitoring, logging, evaluation and drift detection.
• Manage model and agent versioning, rollouts, retraining and decommissioning.
• Own production reliability, incident response and on-call.

What you'll need

• At least 5 years of experience in MLOps, ML engineering or cloud engineering.
• Bachelor’s degree in Computer Science, Engineering or a related field.
• Strong experience with Python.
• Strong experience with Terraform.
• Strong experience with Docker and Kubernetes.
• Deep familiarity with GCP and its ML ecosystem.

Nice to have

• Master’s degree in a relevant field.

Details

• Location: Bangalore, Karnataka, India.