You will serve as the chief technical authority driving the software, data loop, and MLOps machinery that automatically ingests raw fleet logs, curates high-value edge cases, auto-labels datasets, retrains deep learning models, and validates releases for embedded automotive platforms. Hands-on experience architecting cloud-native distributed training infrastructures, high-throughput data processing pipelines, and MLOps / CI/CD platforms for petabyte-scale fleet datasets (e.g., Ray, Kubernetes, Triton, Spark).