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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 and scaling an AI assistant's backend that integrates LLM tool calling, REST/gRPC APIs, and databases to handle banking workflows.
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.
Lead Python developer designs high-performance ETL pipelines with Apache Spark and builds microservices using FastAPI/Django, integrating LLM models into business logic while managing a small team.
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.
Develops and reviews AI-driven audit tools, focusing on GenAI, RAG systems, and LLM fine-tuning for internal audit platforms.
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.
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.
Develops and maintains a Python-based AI agent that converts user queries to SQL for banking metrics reporting, focusing on backend logic, orchestration, and prompt engineering.
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.
Builds and deploys AI agents and LLM pipelines for corporate process optimization using Python, NLP, and generative AI tools.
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