MLOps Engineer - Implementation (f/m/x)

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts. Additionally, you engineer petabyte-scale data pipelines that consume domain datasets, transforming raw MDF4 (.mf4) and MCAP log files into training-ready formats. You build tooling for efficient parallel readers, signal extraction, synchronisation of multi-sensor streams, and integration with dataset management platforms for visual QA and curation. So, you manage experiment tracking, hyperparameter tuning and model registry, enforcing reproducibility, lineage, and approval gates from experiment to production. You develop and maintain model compilation and optimisation pipelines targeting in-vehicle Qualcomm Snapdragon Ride chips and/or NVIDIA automotive SoCs. On top, you operate observability stacks, providing dashboards, data-drift alerts, pipeline SLOs, and log aggregation.

University degree in Computer Science, Engineering, or a related field. 3–5 years of hands-on ML infrastructure or MLOps experience. Strong Python skills; experience with hermetic build systems (e.g., Bazel) is a plus. Production Kubernetes experience, including deploying and debugging workloads, writing Helm charts, and managing accelerator node pools. Working knowledge of ML pipeline orchestration, experiment tracking, and hyperparameter optimization. Hands-on experience with infrastructure-as-code for AWS (e.g., Terraform) and automotive measurement data, search as MDF4 or MCAP. Comfortable with relational databases (e.g., PostgreSQL) for metadata stores and experience with dataset management tools, functional-safety awareness (ISO 26262), or AUTOSAR Adaptive.

Challenging projects with which we shape the mobility of tomorrow together. Wide range of personal and professional development opportunities. Attractive, fair and performance-related costs. High level of job security. Annual special payments search as vacation pay, Christmas bonus, and profit sharing. Flexible working hours including six weeks annual leave and overtime compensation. Discounted BMW & MINI conditions. Many other benefits at bmw.jobs/benefits Earliest starting 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. recruit Ouring decisions are based on the personality, experience, and skills of the applicants. Learn more here. .