BMW Group is hiring an MLOps Engineer - Autonomous Driving Platform. You will join a cross-functional team driving the development and operation of a scalable MLOps platform for autonomous driving. Your work will enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle.
What You'll Do
- 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 We're Looking For
- 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.
Nice to Have
- Knowledge of German is an advantage.
Technical Stack
- Kubernetes, AWS EKS
- Terraform, Helm
- Python
- ArgoCD, GitHub Actions
- Prometheus, Grafana, OpenSearch/Kibana, CloudWatch
Team & Environment
You will be part of a cross-functional team developing and operating the MLOps platform.
Benefits & Compensation
- 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.
- Many other benefits at bmw.jobs/benefits.
At the BMW Group, we place great importance on equal treatment and equal opportunities.
