This includes using simulations and synthetic data methods to accelerate R&D in data-constrained environments and supporting the transition of prototypes towards higher TRLs and eventual integration. * You will lead cross-functional projects and work closely with IT, R&D, engineering, business units, and program teams. * You have a PhD or advanced degree in AI / ML, computer science, systems engineering, or a related field. * Furthermore, you understand embedded AI / edge AI, model optimization, or autonomy, as well as knowledge of synthetic data generation, simulation environments, or digital twins and familiarity with MLOps tools and best practices.
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