Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
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.
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.
Коротко о команде Наша команда «Кредитное решение» решает масштабные и нетривиальные задачи. Основной фокус – обеспечение роста и снижение риска портфеля сегмента «Средний+» в отраслях потребительского спроса:…
Analyzes and formalizes business requirements for budgeting products built on an open-source EPM platform, collaborating with teams to design data models, integrations, and low-code configurations using React, Python, Java, and SQL.
Develops and maintains high-load data pipelines and components for an analytics platform using Python, Kafka, Airflow, and dbt.
Leads monitoring and maintenance of a high-load Hadoop cluster (HDFS, YARN, Hive/Spark), Apache Airflow pipelines, and JupyterHub for data analysts in a fast-paced environment.
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.
Develops and optimizes a large-scale web-crawling system in Python to feed AI training data, focusing on async I/O, sharding, and distributed architecture.
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.
ML Engineer prepares and processes data for training AI models like GigaChat, focusing on speech tasks (ASR, VAD) and device-based ML pipelines in an office or hybrid setup.
Senior ML Engineer improves text-to-speech models for SberDevices' SaluteSpeech, focusing on quality, multimodal projects, and deployment in products like Salute assistants and SberBank.
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.
Senior Data Scientist builds time-series and tabular ML models to forecast deposit elasticity and loan prepayments for corporate clients, using Python, PySpark, and ML libraries.
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.
Develops AI-powered microservices and backend systems for GigaChat-based products, focusing on high-load distributed systems and ML model integration using Python and related technologies.
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.
We couldn't check your fit for this role — add a CV to your profile to see it next time.