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-augmented generation (RAG) or agent-based AI systems. Experience working with APIs, data pipelines, or backend systems. Experience evaluating or benchmarking ML or LLM-based systems. Knowledge of FAIR
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machine learning, deep learning, foundation models, agentic AI systems, graph neural networks, and knowledge‑graph–based reasoning. Familiarity with integrating AI into scientific workflows at scale
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