Company:** Sberbank PJSC
Location: Saint Petersburg
Employment: 20-40 hours per week
Salary: 40,000 – 80,000 RUB per month
Internship in a Sber team focused on developing intelligent risk analysis systems based on LLM and ML. The intern will participate in creating AI agents, training models, and developing PoC/MVP.
Tasks:
- Development of PoC and MVP AI agents based on LLM using langchain/langgraph frameworks
- Adaptation and training of Sber's LLMs using internal and external data (Prompt Tuning, LoRA, SFT, GRPO)
- Application of RL approach to improve the model's reasoning capabilities
Requirements:
- Bachelor's or Master's student in technical fields
- Knowledge of statistics and ML/DL algorithms
- Knowledge of Python and ML stack (PyTorch, Scikit-learn, Pandas)
- Understanding of modern NLP (tokenization, data processing, embeddings, pre-train models)
- Experience in designing and training neural network models (from CNN/RNN to transformers)
- Experience in building RAG (classic RAG, GraphRAG, Agentic RAG)
- Knowledge of classical algorithms and data structures
- Ability to apply threading, asyncio, multiprocessing modules
- Knowledge of OOP principles, design patterns, ability to write clean code, experience with Git
Conditions:
- Internship duration: 3-6 months, 20-40 hours per week, flexible schedule from Monday to Friday
- Work format: office-based, Saint Petersburg, Sber IT Hub, Ural'skaya St., 1
- Access to an extensive catalog of educational programs from SberUniversity
- Free subscription to SberPrime+ service and discounts on partner products
- Opportunity to receive rewards for referring friends