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

Das ist der Job

Innovation Is Imagining What No One Else Can.

Darum lohnt es sich

We are a cross‑functional team driving the development and operation of a scalable MLOps platform for autonomous driving. 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.

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 harness the AI trends and technologies that will transform the way people travel for good.

Together, we enable innovative AI solutions by providing robust, cloud‑native infrastructure for the entire machine learning lifecycle. What awaits you? Design, build and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.

Provision and orchestrate large‑scale GPU clusters for distributed AI/ML training and experimentation. Implement and automate CI/CD pipelines for AI/ML workflows optimized for autonomous driving model lifecycle.

Develop and maintain infrastructure components such as experiment tracking, model registry, and artifact storage tailored to autonomous driving data. Monitor and optimize platform reliability, performance, and cost. Implement resource scheduling, quota management and cost control strategies within the MLOps environment.

Collaborate closely with data scientists, AI/ML engineers and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. What should you bring along? 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 (ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).

Very good written and spoken English skills; knowledge of German is an advantage. What do we offer? 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 remuneration. High level of job security.

Annual special payments such as vacation pay, Christmas bonus and profit sharing. Flexible working hours including 6 weeks annual leave and overtime compensation. Discounted BMW & MINI conditions. Our recruiting decisions are based on the personality, experience and skills of the applicants.

Senior MLOps Engineer - Autonomous Driving Platform (f/m/x) #J-18808-Ljbffr