Senior ML Engineer
— At least 5 years of commercial experience;
— strong knowledge in computer science fundamentals, algorithms, mathematics, linear algebra, probability, and statistics;
— ability to write clean and efficient, production-ready code;
— strong experience with NLP frameworks;
— experience with state-of-the-art NLP or Machine Learning techniques;
— experience with Deep Learning frameworks like Keras and Tensorflow, Pytorch;
— at least Upper-Intermediate level of English.
— Work on the creation of the intellectual knowledge base;
— develop ML pipelines;
— be actively involved in the development process as well as tight collaboration with the Customer’s team;
— but that’s only the beginning!Process new ML opportunities;
— be a starter for new ML projects, providing projects supervision in ML area;
— develop ML competency;
— participate in mentorship programs for ML engineers.