You own the full lifecycle of machine learning models – from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour. * You design and operate scalable, MLOps-driven optimisation pipelines, enabling training, deployment, and inference across diverse embedded targets and accelerator architectures. * Strong expertise in embedded AI, particularly in neural network architectures, quantisation, hardware‑ and quantisation‑aware training, as well as deployment formats and cross‑platform portability. * In‑depth expert knowledge of hardware/software co‑design for ML systems, including cross‑layer ...
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