Job Description

MLOps Engineer

Help shape the future of mobility.

Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv's passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.

Your Role
Build and operate MLOps platforms on AWS supporting autonomous driving ML workloads
Implement and maintain highly available, multi‑zone training and deployment settings
Operate distributed, multi‑GPU training setups (e.g., Ray clusters)
Assist in maintaining infrastructure standards for compute, storage, networking, and security
Troubleshoot and resolve platform‑level issues impacting ML productivity
Implement and maintain ML pipelines using:
Apache Airflow for orchestration




MLflow for experiment tracking, model versioning, and lifecycle management
Support CI/CD pipelines for ML code, models, and infrastructure (GitHub‑based)
Ensure ML workflows are:
Reproducible
Traceable
Auditable (aligned with automotive engineering expectations)

Your Background

Key ingredients for succeeding in this role are your:
5+ years experience, Solid hands‑on experience with AWS for ML workloads
Practical experience with:
Multi‑GPU / distributed training (Ray or equivalent)
Kubernetes / EKS
Infrastructure as Code (Terraform)
Airflow and MLflow
Proficient Python for automation, pipelines, and tooling
Experience building and operating CI/CD pipelines (GitHub)

Why join us
You can grow at Aptiv.Aptiv provides an inclusive work workplace where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
You can have an impact. Safety

📌 Ai/ml Ops Advanced Technical Leader Chennai
🏢 Aptiv
📍 Chennai