The Risk Modelling & Research team develops AI models in the field of risk management for the bank and Sber's ecosystem.
Responsibilities
- Participate in the full model development cycle: problem definition, data collection, ML model development, preparation of artifacts for deployment 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 (classic 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 practice will be an advantage.
- Experience using GigaChat, Kandinsky, and similar tools in products, skills in creating and using AI agents.
Conditions
- Competitive remuneration.
- Opportunity to combine internship and study.
- 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.
