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NLP engineer working on GigaChat Pro, a bank employee copilot assistant that interacts with clients. Daily tasks include developing LLM/BERT-based models, optimizing pipelines, and testing new AI-driven business solutions to enhance the assistant’s functionality and performance.
SRE engineer builds and improves monitoring for an HR platform using Grafana, VictoriaMetrics, Prometheus, and Zabbix, and develops AI agents in Python for anomaly detection and automated incident response.
Разрабатывает AI-инструменты для автоматизации тестирования: генерирует тесты, оптимизирует их с помощью LLM и интегрирует в CI/CD пайплайны на Python и Kubernetes.
Leads a 20-person analytics team at Sber’s GigaChat, building metrics, dashboards, and A/B tests to guide AI-powered product decisions and ensure data quality.
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.
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.
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.
Lead a team to optimize and scale the reinforcement learning pipeline for GigaChat, focusing on speed, stability, and cost-efficiency of online RL/RLHF/RLVR training and inference.
Build and deploy AI agents and LLM applications that integrate into sales workflows, using Python, LangChain/LangGraph, and microservices to drive measurable revenue gains.
Engineer deep-learning inference engines for GigaChat, optimizing CUDA kernels and GPU clusters to deliver sub-second LLM responses at massive scale.
Develops and maintains backend services for a GenAI agent platform in a bank, integrating LLMs, tools, and knowledge bases while ensuring cybersecurity compliance.
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.
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.
Product manager at a large Russian bank’s innovation cluster, building AI-driven pilots and new products using LLMs and neural networks while validating market hypotheses.
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.
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.
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