Senior Machine Learning Operations Engineer - Architecture & Strategy | Senior ML Ops Engineer - Architecture & Strategy (f/m/x)
BMW AG
Job Summary
As a Senior ML Ops Engineer at the BMW Group, you will be the primary architect for the platform blueprint of a petabyte-scale machine learning infrastructure. Your daily responsibilities involve designing end-to-end reference architectures that integrate data mesh principles with high-performance training clusters, including Qualcomm and NVIDIA hardware. You will set the technical direction for data flow standards, model lifecycle governance, and cost-optimization strategies for large-scale Kubernetes environments. This role is unique as it bridges the gap between high-level cloud strategy and low-level automotive deployment, requiring you to partner with security and functional safety teams to meet ISO standards. You will make critical build-vs-buy decisions and ensure the platform can support hundreds of engineers. This is an exceptional opportunity to shape the future of autonomous driving and automotive AI within a world-leading premium manufacturer, offering high job security and significant professional development.
Required Skills
Education
University degree in Computer Science, Computer/Electrical Engineering, or related subjects.
Experience
- 5–8+ years in ML platform or infrastructure engineering
- 2+ years in a technical lead or architect role
- Proven track record designing systems for petabyte-scale data and hundreds of concurrent training jobs
- Professional experience with large vision models and compression for automotive-grade SoCs
- Professional experience with multi-region or multi-account cloud setups
- Experience with functional safety standards such as ISO 26262 and ISO 8800
Languages
Additional
- Unlimited full-time contract. Knowledge of ISO 26262 and ISO 8800 compliance required. Experience with multi-sensor synchronization and automotive data formats is a prerequisite.
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