Senior ML Ops Engineer - Architecture & Strategy (f/m/x)

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.

At the BMW Group, everything begins with passion. It transforms a profession into a vocation. It drives us to continually reinvent mobility and bring innovative ideas to the roads. Enthusiasm for collaborative projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes, and enjoyment of work come together that we can shape the future collectively.

We own the platform blueprint for our ML infrastructure: designing systems that integrate with a data mesh of domain-owned data products, leverage Qualcomm Cloud AI 100 and NVIDIA GPU clusters for training at petabyte scale and produce optimised model artefacts ready for deployment to vehicle hardware. We set technical direction, make build-vs-buy decisions, and ensure the platform scales to hundreds of engineers.

What awaits you?

• You design the reference architecture for the ML platform end-to-end: data ingestion, PB-scale data lake, heterogeneous training clusters, model registry, and deployment-ready artefacts.
• Also, you design the data-format backbone, setting standards for data flows, ingestion, cataloguing, transcoding, and partitioning at PB scale, integrated with dataset management tooling.
• Furthermore, you define the platform component topology and integration contracts for pipeline orchestration, experiment tracking, hyperparameter optimisation, dataset management, observability, and metadata.
• You establish model lifecycle governance, including experiment tracking, approval gates, validation criteria, and clear handoff contracts to deployment teams.
• Further, you drive cost governance at PB scale, including accelerator spot strategies, S3 tiering, cross-AZ traffic reduction, and Kubernetes cluster right-sizing.
• You partner with Security, Legal, and Functional-Safety teams on ISO 26262, ISO 8800, and data-protection compliance.