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interpretability, robustness, and efficiency. Contribute to the team's engineering culture by introducing and maintaining quality standards including automated testing, version-controlled releases, and scalable
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frameworks (LangChain, LangGraph, Hugging Face). Solid knowledge of version control (GitHub/GitLab), CI/CD, Docker, FastAPI, and Kubernetes/Kubeflow for serving ML solutions at scale. Experience training
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and control, robotic manipulation, multimodal learning for robotics, reinforcement learning. Tenure-track hires at INSAIT are eligible to participate in the INSAIT-MIT CSAIL Joint Research Program, a
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