Description

We are looking for a Data Science specialist who will implement modern ML and AI solutions into various processes across all business lines of Sberbank Insurance. We are seeking a professional who will develop the Generative AI direction and create innovative solutions based on large language models. If you have ideas on how to make the lives of many Sberbank Insurance clients better - then we are on the same path!

Responsibilities

• Conducting exploratory data analysis (EDA) to identify key metrics and patterns, building models. A data-driven approach to development
• Developing and implementing AI agents based on LLMs (SOTA open-source solutions), including participation in the creation and development of RAG systems (Retrieval-Augmented Generation)
• Designing the architecture of applications and pipelines for processing user requests
• Working with LLMs: writing and optimizing prompts (prompt engineering), managing model interaction
• Integrating solutions with corporate systems, ensuring their interaction
• Creating autonomous business processes within the company

Requirements

• Experience with Python and libraries: pytorch, pandas, numpy, SQLAlchemy, Scikit-learn, Matplotlib/Seaborn
• Writing maintainable, readable code; participating in code reviews, discussions, and shaping technical approaches
• Practical experience in NLP: text vectorization, query classification, building RAG systems, fine-tuning language models, embeddings, etc.
• And/or practical experience in CV: fine-tuning Sota models for classification, detection, segmentation, identification tasks, etc.
• Understanding of classical ML algorithms
• Understanding of neural network model training methods (transfer learning, fine tuning)
• Git skills, experience in integrating solutions into production environments
• Instrumental proficiency with AI for analysis, generation, and automation

Will be a plus:

• LangChain/LangGraph
• Basic skills in OracleDB/PostgreSQL
• Understanding of PEFT methods for fine-tuning LLM/VLM
• Experience in developing chatbots and dialogue systems, knowledge of ML/AI solution production implementation stages
• Containerization (Docker) and async/threading skills.
• Experience working with generative AI models and creating AI agents and using them in work

Conditions

• Hybrid work format, in a modern office in Moscow on Prospekt Mira (Olympiysky 14, Diamond Hall Business Center)
• Favorable mortgage lending terms
• Free SberPrime+ subscription, discounts on products from partner companies: Okko, SberMarket, SberEapteka and others
• VHI from day one and preferential insurance for relatives
• Corporate pension program
• Children's recreation and gifts covered by the Company
• Company-sponsored training: online courses in Sber's Virtual School and unlimited access to the library, training at the Corporate University, trainings, meetups, and the opportunity to obtain a new qualification
• Discounts on vacations at the world's best resort complex "Mriya Resort & SPA" in Yalta.