ML Ops Engineer - Implementation | ML Ops Engineer - Implementation (f/m/x)

Job Summary

This role at the BMW Group involves building and operating the high-performance machine learning infrastructure required to transition perception and vision models from experimental stages to vehicle-ready production. On a day-to-day basis, you will develop end-to-end ML pipelines, engineer petabyte-scale data pipelines for automotive log files (MDF4/MCAP), and manage large-scale distributed training on NVIDIA and Qualcomm clusters. You will be responsible for model optimization targeting in-vehicle Snapdragon Ride chips and maintaining observability stacks for data-drift and pipeline performance. This position is ideal for candidates with 3-5 years of experience who want to work at the intersection of cloud infrastructure and edge computing. The role offers a unique opportunity to shape the future of autonomous driving within a premium automotive environment, supported by a comprehensive benefits package including profit sharing, flexible working hours, and significant professional development opportunities.