AI/ML Ops Advanced Technical Leader

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 environments

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

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)

Reproducible

Traceable

Auditable (aligned with automotive engineering expectations)

Your Background

Key ingredients for succeeding in this role are your:

5+ years experience, Strong 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