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in deep learning at scale, familiarity with the “alphabet soup” of distributed computing (DP, TP, SP, CP, EP) Experience with production environments, including Git-based workflows Experience working
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exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing
Searches related to parallel and distributed computing
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