Lead GCP MLOps Engineer

Overview

Lead GCP MLOps Engineer to deploy, automate, and operationalize Python-based machine learning solutions on Google Cloud Platform (GCP), ensuring they are reliable, secure, and scalable in production.

What you'll do

• Design and maintain scalable MLOps frameworks on GCP.
• Automate ML model deployment, testing, monitoring, and lifecycle management.
• Build CI/CD pipelines for ML applications and services.
• Deploy batch and real-time inference pipelines and enable model serving (Vertex AI Endpoints and containers).
• Implement Infrastructure-as-Code for repeatable environment provisioning.
• Manage and optimize GCP ML infrastructure services (e.g., Vertex AI, BigQuery, Cloud Build, Cloud Run, GKE, Pub/Sub).
• Set up monitoring, logging, alerting, and governance for deployed ML services.

What you'll need

• 5 to 8 years of experience in cloud engineering, MLOps, or ML platform engineering.
• Strong hands-on experience with GCP.
• Experience operationalizing Python-based machine learning models.
• Experience with Vertex AI and production ML deployment patterns.
• Experience building CI/CD pipelines for ML applications.
• Experience implementing Infrastructure-as-Code using Terraform (or similar).
• Experience monitoring and supporting production ML workloads.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.

Details

• Location: Pune.
• Employment type: Full time; contract type: Permanent.