At APTIVwe shapethe future of mobility:wedesign, develop, and validatesystems to improve safety and comfort in vehicles.Come and join the team of skilled development engineerstodesign, buildand scalean MLOps infrastructurefor L2++ autonomous driving systemsoperating in complex urban environments.

In this role youwillbe responsible foranend-to-end ML platform architecture on AWS. The goal is toenablescalable training, validation, deployment, and observability of perception and behavioral models that meet automotive-grade reliability, safety, and performance standards.

This role sits at the intersection ofcloud operations,machine learning engineering, anddrive automationsystems. Let’s be honest: itrequiresdeeptechnical leadershipacross ML training pipelines, infrastructure automation, and multi-region scalability.

Yournew role:

MLOps & Cloud Architecture: