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Senior Data Scientist builds time-series and tabular ML models to forecast deposit elasticity and loan prepayments for corporate clients, using Python, PySpark, and ML libraries.
Leads the quality-metrics system for GigaChat, a large language model, designing benchmarks, analyzing logs, and embedding metrics into CI/CD to catch regressions and guide model improvements.
Senior Java developer builds and maintains server-side applications with REST APIs, integrates banking systems, and designs microservices using Spring, PostgreSQL, and Kafka in a hybrid work setup.
Senior System Analyst designs and optimizes Sber’s client journey management system, gathering requirements, modeling architectures, and guiding development teams using Kafka, SQL, and REST APIs.
Builds AI solutions (NLP, LLM, AI agents) for Sberbank’s strategy and development unit, integrating production-ready multi-service architectures into internal systems.
Builds and deploys AI/NLP models and LLM-based solutions to unify bank data, classify documents, and power AI-driven strategic decisions for executives.
LLM engineer builds and optimizes AI tools for legal document analysis using Python, NLP models, and retrieval pipelines in a Moscow-based team.
Builds AI agents and NLP pipelines for a large bank, using LLM frameworks and classic ML to automate internal processes and support strategic decision-making.
Senior NLP and LLM Data Scientist at Sberbank builds and deploys AI models for banking strategy, automates data pipelines, and fine-tunes large language models like GigaChat for business use.
Senior NLP/ML Engineer builds AI agents for legal automation, fine-tuning large language models and structuring legal knowledge using Python and prompt engineering.
Develops and improves a Russian generative AI model (GigaChat) by training large language models, optimizing distributed training frameworks, and enhancing multimodal capabilities using Python, PyTorch, C++, and CUDA.
Develops AI agents and multimodal solutions using LangChain/LangGraph, integrates LLMs into products, and contributes to open-source projects in a Moscow office.
Senior Data Scientist builds and scales AI-powered search systems using LLMs, RAG, and agentic architectures to index and retrieve data across a large corporate data lake.
Senior Data Engineer/Data Analyst builds and maintains data pipelines and feature stores for AI models in Sberbank branches, translating DS prototypes into production systems using SQL, Python, and Spark.
Designs and maintains data pipelines to load, clean, and transform large datasets from banking systems into analytical data marts using Greenplum/Hadoop, Python, and SQL.
Builds and deploys AI agents and LLM pipelines for corporate process optimization using Python, NLP, and generative AI tools.
Develops AI agents and RAG pipelines for a mobile banking assistant using LLM technologies like LangChain and PyTorch, focusing on NLP tasks and multi-agent systems.
Data engineer builds and optimizes ETL pipelines and data storage for a large bank’s data lake, using Python, SQL, and big-data tools to support analytics and decision-making.
Senior Data Scientist builds AI agents and NLP pipelines for a large bank, combining classic ML, LLMs, and multi-agent systems to automate internal processes and improve strategic decision-making.
Builds native multimodal AI architectures that jointly process vision, audio, video, and text for robotics and reasoning, using PyTorch and large-scale datasets.
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