BMW Group | Germany | 80809 München | Full time | Published since: 01.05.2026 on stepstone.de
Senior MLOps Engineer - Autonomous Driving Platform (f/m/x)
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then the AI trends and technologies that will transform the way people travel for good. 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. .
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Your tasks • Your profile • What we offer
You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads. In addition, 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 search as experiment tracking, model registry, and artifact storage tailored to autonomous driving data. You monitor and optimize platform reliability, performance, and cost. Additionally, 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/MLcycle.
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 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.
Challenging projects with which we are shaping the mobility of tomorrow together. Wide range of personal and professional development opportunities. Attractive, fair and performance-related costs. High level of job security. Annual special payments search as vacation pay, Christmas bonus, and profit sharing. Flexible working hours including 6 weeks annual leave and overtime compensation. Discounted BMW & MINI conditions. Many other benefits at bmw.jobs/benefits Start date: from now on Type of employment: unlimited Working hours: full time At the BMW Group, we place great importance on equal treatment and equal opportunities. recruit Ouring decisions are based on the personality, experience, and skills of the applicants. Learn more here. .
Location
 | BMW Group | |
| 80809 München | ||
| Germany |
The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
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