ML - Intelligence

• 6 years of experience with Machine Learning, Software Engineering in a highly competitive environment
• Ability 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 framework
• Experience 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 systems
• Practical 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.