MLOps Engineer

About the Role

Help shape the future of mobility by building MLOps platforms on AWS supporting autonomous driving ML workloads. You will implement highly available environments and operate distributed, multi-GPU training setups (e.g., Ray clusters).

Your Responsibilities:

• Maintain infrastructure standards for compute, storage, networking, and security.
• Troubleshoot platform-level issues impacting ML productivity.
• Implement and maintain ML pipelines using Apache Airflow for orchestration and MLflow for experiment tracking.
• Support CI/CD pipelines via GitHub for code, models, and infrastructure.

Ensuring Quality:

We ensure all ML workflows are Reproducible, Traceable, and Auditable to align with automotive engineering expectations.