6-7 years in Data Science/Machine Learning Experience building and deploying production ML models Very good knowledge of Python/PySpark Practical ability to design architectures for real-time inference and streaming ML Experience using APIs for real-time scoring Experience in advanced feature engineering for high-throughput systems Knowledge of Gradient Boosting, Random Forests, Deep Learning (DNN/RNN) algorithms Ability to take initiative and work independently English at a level enabling free communication in the team