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Leads a 2-person team building ML models and GenAI agents for bank-card distribution logistics, optimizing delivery routes and customer interactions in a large Russian bank.
Lead a Data Science team building AI solutions for payroll products in a major bank, overseeing the full ML lifecycle from research to production deployment.
Lead a Data Science team to build and deploy AI solutions for Sberbank’s ATM network, managing the full product lifecycle from research to production and driving business impact.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Senior data scientist leading a small team to build and improve an AI copilot for bank staff, focusing on LLM/NLP models for risk management and customer dialogue.
Builds and improves marketing-mix models to optimize ad spend and strategy for Russia’s largest bank, using Python/R and ML tools.
Build and improve deep-learning models to detect audio deepfakes, using PyTorch and modern audio feature pipelines like spectrograms and wavelets.
Senior Data Scientist at SberAds builds and improves predictive models and high-load services for real-time ad auctions, using Python, Go, Spark, and related ML tools.
Leads a research and development team building AI-driven banking assistants and machine learning solutions that directly impact Sber’s sales processes and customer experience.
Builds, tunes, and deploys NLP models and LLM pipelines for financial markets, automating trading tools and integrating AI into Sber’s global markets business.
Leads a Data Science & AI team in Bangalore to build and scale AI-native products for Sber’s India business, from strategy to production, using ML, LLMs, and agentic systems.
Leads a data science and AI team in India to build and deploy AI-native products for Sber’s business goals, including LLMs, recommendation systems, and agentic workflows.
Builds and applies marketing-mix models to measure ad-channel effectiveness and guide marketing spend for Russia’s largest bank, using Python/R and ML tooling.
Lead a data science team to enhance Sberbank Online’s AI Assistant by integrating LLM-powered search, optimizing models, and driving product strategy with production-grade MLOps.
Develops and reviews AI-driven audit tools, focusing on GenAI, RAG systems, and LLM fine-tuning for internal audit platforms.
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.
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.
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.
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