Proven experience with Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework) and application to scientific questions. * Experience building, deploying, and optimizing agentic AI systems for healthcare and life sciences, especially for scientific software vendors and data platforms, is a plus. * Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA), or experience with distributed programming models for supercomputing applications, AI deployment/inference technologies (e.g. TensorRT), cloud deployment (AWS, Azure) or optimization frameworks (e.g. cuOpt), is a plus.
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