MLOps Engineer - Implementation (f/m/x)

The BMW Group is seeking an MLOps Engineer to join their team, focusing on building and operating ML infrastructure for perception and vision models from experiment to production. The role involves building end-to-end ML pipelines, managing experiment tracking, and developing model compilation and optimization pipelines.

Requirements

• University degree in Computer Science, Engineering, or a related field.
• 3–5 years of hands-on ML infrastructure or MLOps experience.
• Strong Python skills
• Production Kubernetes experience
• Working knowledge of ML pipeline orchestration, experiment tracking, and hyperparameter optimization
• Hands-on experience with infrastructure-as-code for AWS and automotive measurement data
• Comfortable with relational databases and dataset management tools

Benefits

• Challenging projects
• Wide range of personal and professional development opportunities
• Attractive, fair and performance-related remuneration
• High level of job security
• Annual special payments
• Flexible working hours
• Discounted BMW & MINI conditions
• Many other benefits