Propose new ideas and directions of architecture, technical decisions and best practices;
Train, maintain and monitor the ML models;
Optimize research code, create production-ready solutions, dockerize them;
Share knowledge, ideas and new approaches with team members;
Stay up to date with the latest findings in applied data science.
Skills we are looking for
2+ years of experience in ML-related projects;
Degree in Computer Science, Mathematics, Electrical Engineering, Statistics, or equivalent fields;
Solid programming experience in Python, OOP, Rest API;
Strong knowledge of NLP tools and libraries such as NLTK, Spacy, scikit-learn;
Understanding theoretical concepts of Language modeling, Named Entity Recognition, text classification and clustering, topic modeling, embedding, ML metrics.
We offer
Medical insurance;
Possibility of training at the expense of the company;