Job description6 years of experience with Machine Learning, Software Engineering in a highly competitive environmentAbility to translate a real-life problem into an ML model (deep learning, decision trees, Bayesian models, etc.)Experience with designing a scalable ML System including feature store, training pipeline, model serving, model deployment, experimentation frameworkExperience using machine learning libraries or platforms such as Tensorflow, Caffe, Theano, Scikit-Learn, Spark ML, etc.Some knowledge of backend software engineering, including coding and working with scalable software services and systemsPractical knowledge of feature engineering, model training, model tuning, model evaluation, etc.Demonstrated application of ML techniques in the industry for a problem at Scale with fruitful results.