Salary: 65.000 - 108.000 € per year Requirements: University degree in Computer Science, Data Science, AI, Mathematics, Physics or comparable qualifications. At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. Profound expertise in Kubernetes, AWS EKS, and related cloud services. Comprehensive knowledge of distributed training infrastructure and large-scale GPU cluster orchestration. Advanced skills in Infrastructure as Code, especially Terraform and Helm. Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch). Very good written and spoken English skills; knowledge of German is an advantage. Responsibilities: You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads. You provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation. You implement and automate CI/CD pipelines for AI/ML workflows optimized for autonomous driving model lifecycle. 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. 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. Technologies: AI AWS OpenSearch ArgoCD CI/CD Cloud CloudWatch DevOps GitHub Grafana Helm Kibana Kubernetes Machine Learning Prometheus Python Security Terraform More: At BMW, with our brands BMW, MINI, Rolls-Royce, and BMW Motorrad, we are one of the worlds leading premium manufacturers of automobiles and motorcycles, as well as providers of premium financial and mobility services. We offer challenging projects that shape the mobility of tomorrow, a wide range of personal and professional development opportunities, attractive remuneration linked to performance, a high level of job security, annual special payments, flexible working hours, and various benefits including discounted BMW & MINI conditions. We are located in Munich and are looking for a Senior MLOps Engineer to join our cross-functional team dedicated to developing and operating a scalable MLOps platform for autonomous driving. last updated 12 week of 2026