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Why this role matters As an experienced Data Engineer at Exness in Limassol, Cyprus, you will play a critical role in the Technology department, focusing on developing our data platform through the assembly of complex…
Build and maintain Exness’s data platform in Limassol, Cyprus, designing scalable data warehouses, ETL/ELT pipelines, and analytics-optimized databases to ensure reliable, high-quality trading data for over a million clients.
WeRoad is seeking a Staff/Lead Data Engineer to lead a small senior team and shape the data platform. You will own the BigQuery warehouse, dbt transformations, and data pipelines, while guiding governance and AI‑driven…
Привет! 👋 Мы — дата-инженерная команда внутри Управления экспериментальных систем машинного обучения SberAI. Наша миссия — поставлять качественные мультимодальные датасеты в продуктовые команды, которые развивают…
MLOps engineer builds and scales automated document-processing pipelines for a FinTech platform using Airflow, MLflow, and Kubernetes.
Senior ML Engineer responsible for designing, building, and maintaining ML training pipelines and infrastructure for ad-targeting models in a fast-growing gaming/media company. Focuses on end-to-end ML ownership, performance optimization, and enabling data scientists with scalable, reproducible tools.
Develops AI-powered audience analytics and media intelligence solutions using real-time data; builds production ML/PySpark pipelines on Databricks with MLOps best practices.
DevOps Engineer at Интерфакс will improve and support infrastructure, manage configurations, diagnose production incidents, and automate deployment processes using Linux, Docker, Kubernetes, Git, CI/CD systems, and monitoring tools.
Data Analyst working on external client projects across fintech, retail, and edtech, building SQL data marts, BI dashboards, running EDA and A/B tests using SQL, Python (Pandas/NumPy), and BI systems.
Lead the delivery of multiple AI and Data Engineering engagements — managing pods, reviewing architectures, and engaging clients — with deep hands-on knowledge of LLMs, RAG, Agentic AI, data pipelines, and cloud platforms.
Builds and optimizes AI training pipelines, annotation workflows, and model evaluation tools to improve machine learning performance at scale, collaborating with data scientists and researchers.
Build and maintain ETL/ELT pipelines and Python backend services to process and deliver football analytics using PostgreSQL, ClickHouse, and cloud infrastructure.
Senior Data Engineer builds and maintains core data infrastructure for analytics using dbt, Airflow, Airbyte, and Snowflake in a remote, AI-driven team.
Snowflake Data Engineer Location: New York City, NY – Hybrid Experience:8 Years Location Requirement: Local NYC candidates preferred/required Job Summary We are seeking an experienced Snowflake Data Engineer with 8…
About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by…
В 2022 году Московской бирже исполнилось 30 лет. Мы появились вместе с современной Россией и за эти годы с нуля создали рынок инвестиций. Сегодня миллионы людей и тысячи компаний доверяют нам и пользуются нашей…
DevOps engineer at Alfa-Bank's MLOps center, responsible for optimizing BigData and streaming systems, configuring infrastructure, and developing tools for ML lifecycle management, using technologies like Spark, Kubernetes, and Python.
Наша задача — развитие лотерейной культуры в России. Сделать лотереи по-настоящему национальной традицией, объединяющей поколения, где каждый сможет найти свою игру. В связи с развитием компании ищем в нашу команду…
Чем предстоит заниматься: Внедрение моделей машинного обучения; Сопровождение полного цикла сборки модели; Обработка и анализ данных; Поддержание коммуникаций с разработчиками моделей; Проработка архитектуры моделей;…
The Python Backend Engineer will develop and maintain backend services for an LLM-based platform, focusing on data governance, integration pipelines, and asynchronous workflows. The role involves working with Postgres, Redis, and message brokers to build scalable, high-performance systems for LLM orchestration.
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