Internship in Sber's team working on machine learning and risk management. Participation in IT validation of ML models and forecasting methods, opportunity to dive into projects with LLM agents.
Tasks:
- Participation in the IT validation process of models and forecasting methods used in the bank
- Application of theoretical knowledge and development of practical skills in real-world projects on risk management, algorithm performance evaluation, and quality of implemented models
- Diving into specialized projects, such as agent development (LLM agent AIVA) and studying the latest approaches in creating and verifying intelligent analytical tools
Requirements:
- Final year student of a technical university (bachelor's degree)
- Proficient in Python
- Basic understanding of classical mathematical statistics and Machine Learning
- Full-time employment (at least 40 hours per week)
Conditions:
- Work in a comfortable and modern office near the Kutuzovskaya metro station
- Corporate gym and relaxation areas
- Over 400 educational programs from SberUniversity for professional and career development
- Prime subscription with the possibility of sharing with three close people
- Reward for recommending friends to the Sber team
Skills:
- Python
- Machine Learning
- LLM
