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

Job description

We are a cross-functional team driving the development and operation of a scalable MLOps platform for autonomous driving. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. What awaits you?: - You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads. - Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation. - Here, you implement and automate CI/CD pipelines for AI/ML workflows optimized for autonomous driving model lifecycle. - Additionally, you develop and maintain infrastructure components such as experiment tracking, model registry, and artifact storage tailored to autonomous driving data. - You monitor and optimize platform reliability, performance, and cost. - Moreover, you implement resource scheduling, quota management, and cost control strategies within the MLOps environment. - You collaborate closely with data scientists, AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. What should you br...