About the role

AI/ML Ops team at Aptiv drives sustainable mobility by building and operating MLOps platforms for autonomous driving workloads. The role designs highly available multi‑zone training environments on AWS, manages distributed GPU clusters with Ray, and implements CI/CD pipelines using GitHub, Airflow and MLflow. Based in Chennai, India, hybrid work model with flexible hours.

What you’ll do

Build and operate MLOps platforms on AWS
Implement highly available multi‑zone training environments
Manage distributed GPU training setups
Maintain infrastructure standards for compute, storage, networking, security
Troubleshoot platform‑level ML productivity issues
Develop ML pipelines with Airflow and MLflow
Support CI/CD pipelines for ML code, models, infrastructure
Ensure reproducible, traceable, auditable ML workflows

What you’ll bring

5+ years experience
Strong hands‑on AWS for ML workloads
Multi‑GPU/distributed training (Ray)
Kubernetes/EKS
Infrastructure as Code (Terraform)
Airflow and MLflow
Python automation
CI/CD pipelines (GitHub)

Benefits

Hybrid flexible working hours
Higher Education Opportunities (Udacity, Udemy, Coursera)
Life and accident insurance
Sodexo cards for food and beverages
Well Being Program with workshops and networking events