Description
Our team develops smart solutions and reporting for internal team needs. In our solutions, we use both classical models and AI agents based on the LLM GigaChat. To perform tasks, we collect data, prepare prototypes, and validate the developed tool.
Our goal is to provide our users with high-quality tools for solving data processing and analysis tasks, etc., using advanced AI technologies, including Generative AI.
We are looking for an experienced Python engineer who loves ML.
Responsibilities
- Hypothesis testing
- Dataset preparation
- Development of AI agents on LangGraph + GigaChat, prompt engineering, fine-tuning LLM
- Development of RAG pipelines
- Development of models (classification, recommendations, predictions)
- Evaluation of model quality metrics
- Development of API services
Requirements
- Confident programming in Python
- Experience interacting with LLM
- Ability to evaluate the quality of LLM-based solutions
- Use and development of REST API (aihttp, flask)
- Working with databases (PostgreSQL) using ORM
Will be a plus:
- Experience participating in machine learning/Data Science competitions
- Experience participating in hackathons
- GitHub profile
- Experience solving algorithmic problems (Leetcode, Codewars, Hackerrank)
- Having completed pet projects
- Skills in working with RAG pipelines
- Experience in creating AI agents
- Experience with GigaChat
- Experience with GreenPlum DBMS
Conditions
- Comfortable modern office
- Work format office/hybrid
- Annual salary review, annual bonus
- Corporate gym and relaxation areas
- More than 400 educational programs from SberUniversity for professional and career development
- Extended voluntary health insurance, preferential insurance for family, and corporate pension program
- Free SberPrime+ subscription, discounts on products from partner companies
- Referral bonus for recommending friends to the Sber team.
