Senior MLOps Engineer - Autonomous Driving Platform | Senior MLOps Engineer - Autonomous Driving Platform (f/m/x)

Job Summary

As a Senior MLOps Engineer, you will join a cross-functional team dedicated to building and operating a scalable, cloud-native platform for autonomous driving AI/ML workloads. Your daily responsibilities include designing and managing Kubernetes clusters on AWS EKS, orchestrating large-scale GPU clusters for distributed training, and automating CI/CD pipelines. You will also develop essential infrastructure components such as model registries and experiment tracking systems while optimizing platform performance and cost. This role is highly collaborative, requiring close interaction with data scientists and cloud architects to support the entire machine learning lifecycle. The position is particularly attractive due to its focus on cutting-edge autonomous driving technology, the opportunity to work with high-performance GPU infrastructure, and the comprehensive benefits package offered by a global premium automotive leader, including profit sharing and flexible working arrangements.