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Lead the online reinforcement-learning team for GigaChat, designing post-training methods, reward models, and data pipelines to make the LLM more helpful and user-friendly.
Build and optimize large-scale generative language models (LLMs) for GigaChat, focusing on Russian-language performance, distributed training, and efficiency improvements.
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.
Data analyst building recommendation logic for Sber’s B2C ecosystem using SQL, Scala/Spark, and Hadoop to automate personalized offers for clients.
Data Analyst builds and tests ad-platform growth hypotheses, runs A/B tests, and delivers BI dashboards using ClickHouse, Redash/Superset, Spark, and Trino.
Senior Data Analyst builds and evaluates AI-driven multi-agent systems for digital banking, using GenAI to automate client interactions and improve engagement metrics.
Middle Data Analyst in SberAds’ adtech team; builds SQL/Python pipelines, dashboards, and hypotheses to improve ad-display metrics and monetization using ClickHouse, PySpark, and BI tools.
Builds and scales ML services, pipelines, and AI agents to extract insights from customer interactions across banking and ecosystem surfaces using Python, FastAPI, and ML/LLM stacks.
Build and deploy AI agents (LLM-based) to automate customer-support workflows using NLP tools like LangChain, RAG, and fine-tuning.
ML engineer builds and deploys GenAI solutions—chatbots, RAG pipelines, and AI agents—using Python, PyTorch, LangChain, and LangGraph.
Senior ML Engineer builds and improves ML models for banking products, using Python, LLM prompt engineering, and data pipelines to enhance customer experience and reduce churn.
Build and scale AI agents and LLM applications that plug into sales workflows, using Python, LangChain/LangGraph, and distributed systems to drive measurable business impact.
Build and maintain CI/CD pipelines and cloud infrastructure for an AI-model development platform in Sberbank’s ecosystem, using Kubernetes, Helm, and DevSecOps practices.
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.
Build and optimize high-load Scala/Spark pipelines for NPL analytics, engineer clean features for ML teams, and integrate generative AI into data workflows.
Intern in Data Science at Sber, tackling impactful problems that affect millions of users with statistical and probabilistic methods.
Builds and improves marketing-mix models to optimize ad spend and strategy for Russia’s largest bank, using Python/R and ML tools.
Junior Automated QA Engineer role using Java for testing within a hybrid work environment at a major financial institution.
A Data Engineer at Sber designs and develops data marts for corporate lending processes, analyzing business requirements, building prototypes, developing solutions, testing, and supporting deployed systems, using SQL and data warehousing principles.
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