The Risk modelling&research team develops AI models in risk management for the bank and Sber's ecosystem.
Responsibilities
- participate in the full model development cycle: task definition, data collection, ML model development, preparation of artifacts for implementation with subsequent monitoring
- research data sources and modern architectures to improve model performance.
Requirements
- Bachelor's/Master's degree in Computer Science, Statistics, Mathematics, or another relevant field (incomplete higher education is acceptable)
- excellent Python programming skills, knowledge of PyTorch, SQL.
- experience in developing machine learning models (classical stack, NLP, DL). Experience with LLMs will be a plus.
- willingness to work 30-40 hours per week (flexible schedule)
Will be a plus:
- skills in working with generative AI models
- experience in creating AI agents and using them in work will be an advantage
- experience using GigaChat, Kandinsky, and similar tools in products, skills in creating and using AI agents.
Conditions
- competitive compensation
- opportunity to combine internship and studies
- employee development: training courses in Data Science and the subject area, meetups/conferences, training at the corporate university
- after completing the internship, an extended social package, voluntary medical insurance for employees and their relatives, life insurance.
