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Knowledge of machine learning libraries or platforms such as Tensorflow, Pytorch, Caffe, Theano, Scikit-Learn, Spark ML, MLflow, Flask / Django is good to have
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Understand the Fundamentals behind the Machine Learning model and should be able to quickly take it into production
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Experience with designing a scalable ML System including feature store, training pipeline, model serving, model deployment, experimentation framework
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Contribute to the development of ML/DL models to solve business problems and Collaborate with multiple teams to alleviate data-related challenges
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