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Builds and maintains the backend framework and tooling infrastructure for an AI assistant that integrates large language models with external tools to solve real-world user tasks.
Leads a team building and scaling a large-scale web-crawling and data-pipeline system in Python to feed AI training, focusing on distributed architecture, performance, and global traffic routing.
ML Engineer role focusing on Online RL and Post-Training LLM, responsible for developing methods, conducting experiments, and improving model quality at Сбер in Moscow.
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.
Lead the architecture and pretraining of large language models for GigaChat, designing MoE and Transformer-based models, scaling laws, and long-context features on H100/B200 clusters.
Build and deploy AI agents and LLM applications that integrate into sales workflows, using Python, LangChain/LangGraph, and microservices to drive measurable revenue gains.
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.
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.
Leads a team to improve large language models by designing training pipelines, curating datasets, and evaluating model quality for business use cases.
Leads AI transformation for a bank’s Global Markets division, building AI teams, driving R&D, and embedding AI workflows across trading, sales, and risk functions using generative AI and ML technologies.
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 research team focused on GenAI security, identifying vulnerabilities in AI models and agents, developing automation tools, and competing in AI/ML security CTFs.
Коротко о команде Наша команда «Кредитное решение» решает масштабные и нетривиальные задачи. Основной фокус – обеспечение роста и снижение риска портфеля сегмента «Средний+» в отраслях потребительского спроса:…
ML engineer builds and runs online reinforcement learning pipelines for a Russian LLM, designing experiments, optimizing GPU throughput, and improving model quality from research to production.
Senior ML Engineer builds and trains generative AI models for text-to-speech, voice cloning, and multimodal systems using LLM, TTS, and RL techniques.
Senior Go developer building an AI assistant platform that integrates LLM tooling, routing, and evaluation pipelines for real-world task resolution in a backend-heavy system.
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.
ML Engineer prepares and processes data for training AI models like GigaChat, focusing on speech tasks (ASR, VAD) and device-based ML pipelines in an office or hybrid setup.
Develops and evaluates pipelines for integrating large language models (LLMs) like GigaChat into Sber’s consumer products, focusing on data analysis, metrics, and model improvement.
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