Conducts design and development to build and optimize AI software.
Designs, develops, and optimizes for AI frameworks OpenVINO) and to contribute to external frameworks TensorFlow, PyTorch).
Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks.
Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries.
Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams.
Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.
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