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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.
Senior Python engineer building distributed search engines and indexing pipelines for AI systems, focusing on vector, text, and hybrid search at scale.
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.
QA engineer builds and runs automated tests for a talent-management AI platform, covering web, backend, and AI agents using Python, REST/gRPC, Kafka, and PostgreSQL.
Engineer deep-learning inference engines for GigaChat, optimizing CUDA kernels and GPU clusters to deliver sub-second LLM responses at massive scale.
Builds and optimizes ClickHouse clusters, designs real-time ETL pipelines with Kafka and Bash, and monitors database performance for a user-analytics product.
Develops and maintains backend services for a GenAI agent platform in a bank, integrating LLMs, tools, and knowledge bases while ensuring cybersecurity compliance.
Data Analyst builds and tests hypotheses, runs A/B tests, and creates BI reports for an ad platform using ClickHouse, Redash/Superset, and Big Data 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.
Designs and implements a high-performance Lakehouse data platform for a large bank, focusing on distributed compute (Spark/Flink) and storage (S3) across 10,000+ servers.
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.
Financial analyst at Sber’s ecosystem unit builds unit-economics models (CLTV, PL, PV) and validates data quality for non-financial services, using SQL, Python, and statistical testing.
Develops and maintains data warehouses for Sber’s Indian business unit using Greenplum, PostgreSQL, ClickHouse, and AS Navigator to calculate financial results and build reporting dashboards.
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.
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