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Classical Machine learning is the go-to solution in tabular data, it works with relatively small amounts of train datasets and has inherent explainability. Along with lower computational requirements it gets strong demand across multiple domains.
Python has become #1 language for data science, and it is still lacking the performance and efficiency of native languages. You will be playing critical role in changing that by helping data science to scale beyond laptop to powerful servers and clusters.
As a part of the team, you will be working on bringing full potential of the latest Intel CPUs and GPUs to the Python and classical Machine Learning ecosystems. With efficient backend in C++ and ability to seamlessly integrate into the existing Python data science codes, our tools unleash orders of magnitude speedups for performance critical data science operations.
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