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Junior Python developer internship building AI integration scripts and microservices for banking processes, testing LLM tools like LangChain, and working in an Agile team.
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.
ML analyst builds and evaluates datasets and metrics for Kandinsky’s generative image/video models, diagnosing quality regressions and improving multimodal AI performance.
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.
Senior research analyst builds a multi-agent GenAI platform to automate financial and macroeconomic analysis, forecasting, and report generation for investment research teams using LLMs, time-series models, and RAG pipelines.
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.
Руководитель в малом бизнесе Сбера — это профессионал, который знает, что нужно бизнесу, умеет выстраивать долгосрочные отношения, создает лучший сервис для клиентов и комфортную атмосферу для команды. Это вакансия для…
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.
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.
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.
Designs and refines requirements for a process-mining platform that uses AI/BI to analyze business workflows, uncover inefficiencies, and recommend improvements.
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