We are looking for someone who wants to bring engineering best practices to the full machine learning lifecycle, from cloud infrastructure through data processing and modeling to deploying machine learning models. Someone with experience in machine learning or with the desire to learn about it. Your main responsibilities would be: Building end-to-end machine learning solutions Working with large scale data processing Working daily with data scientists and researchers on topics from data visualization to data processing to writing / optimazing model code for production environment Maintaining R&D and/or production environments Optimazing model inference for production Bridging gaps between data science and production software systems Working cross-functionally across multiple partner teams to get new features shipped across our many interfaces Communicating in written and spoken English We are looking for someone who: Is familiar with machine learning and its applications in industry. Has work experience within Linux environment Understands data structures and algorithms at a level sufficient to write an optimized code when working with large datasets or large incoming data streams Has experience with cloud infrastructure Has experience with containers (Docker, ECS, Kubernetes, etc.) Has at least Intermediate level of English. Bonus: Experience with cloud AI services or other ML platforms Knowledge of Python / C++ and ML tools (TensorFlow, NumPy, Pandas, openCV,… Knowledge of JSON, MySQL, PostgreSQL, scripting; Basic knowledge of ML, DL, AI, NN (RNN, LSTM, CNN) We offer: An exciting and challenging job and sharp team around Interesting projects in the field of machine learning, deep learning and data analysis Substantial performance bonuses paid two times a year (depending on your attitude to work) Quarterly salary review 25 working days paid vacation Exciting company and team events Possibility to work remotely Interested? Apply for this position by sending your CV to [email protected].