Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation. * Hands-on work with large-scale, heterogeneous engineering, vehicle, and business data, transforming complex data landscapes into robust, high-performing models. * End-to-end ownership of model performance, robustness, explainability, and lifecycle management in real-world business environments. * Deployment of models into productive systems, including operational monitoring and iterative improvement based on real-world feedback and performance metrics. * At least five years of professional experience in developing, deploying, and maintaining AI/ML models in a business or industrial setting. * Proven success in bringing models from research or prototype stage into productive, value-generating operations.
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