Senior Engineer - AI/ML -Ops (6-8 Yrs)

Overview

Senior Engineer role focused on AI/ML Ops on AWS, building and operating MLOps platforms and ML training/deployment environments.

What you'll do

• Build and operate MLOps platforms on AWS for autonomous driving ML workloads.
• Implement and maintain highly available multi-zone training and deployment environments.
• Operate distributed multi-GPU training setups using Ray clusters.
• Maintain infrastructure standards for compute, storage, networking, and security.
• Troubleshoot platform-level issues affecting ML productivity.
• Implement and maintain ML pipelines using Apache Airflow and MLflow.
• Support CI/CD pipelines for ML code, models, and infrastructure using GitHub-based workflows.

What you'll need

• 6–8 years of experience.
• Strong hands-on experience with AWS for ML workloads.
• Practical experience with multi-GPU/distributed training (Ray or equivalent).
• Practical experience with Kubernetes/EKS.
• Experience with Infrastructure as Code using Terraform.
• Experience with Airflow and MLflow.
• Proficient Python for automation, pipelines, and tooling.

Details

• Location: Chennai, India.