You provide architectural guardrails to business units and development teams, enabling competitive AI products on our platforms. * Moreover, you link platform and application development by defining interfaces and ensuring that new AI trends and requirements are integrated directly into the AI and data platforms. * You co-create and prioritise AI use cases across domains, assess feasibility and value, and translate them into system and hardware requirements. * Beyond that, you continuously evaluate the latest AI developments and implement them where they add value. * Familiarity with open-source AI stacks (e.g., vLLM, llama.cpp, ONNX Runtime, TensorRT, LiteRT LM, ExecuTorch, Llama-Stack) on embedded hardware (NPU) and comparison to proprietary frameworks with focus on latency, throughput, and energy. * Solid software development and engineering skills: Python, API technologies, CI/CD, ...
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