Design and build machine learning systems for robotic applications: training, deploying, and sustaining ML models on cloud and on-prem infrastructure, and building end-to-end ML pipelines for model training, evaluation, and deployment. Core stack includes C++/Python, TensorFlow/PyTorch, Airflow, and robotics frameworks like ROS, OpenCV, and Open3D.
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