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Мы ищем талантливого и опытного MLOps, который сможет выстроить технически современную, удобную и прозрачную практику MLOps, оказывающую влияние на весь Сбербанк Страхование. Наша задача - развить MLOps практику в…
Senior Java Backend Developer at a data/ML startup, designing and building scalable backend services for reporting, dashboards, and analytics. Core tech: Java, APIs, CI/CD.
The Senior Data Scientist will design, build, and deploy predictive and causal models to drive personalization, retention, and monetization strategies at Fetch. The role involves leveraging Python, SQL, and cloud data infrastructure to operationalize production-ready models and experimentation frameworks.
Новая локация офиса: В ноябре переезжаем в новый офис в Сколково. Сейчас работаем на Соколе - пожалуйста, учитывайте это при отклике на вакансию. Обязанности: Разработка, улучшение и внедрение алгоритмов рекламы и…
Sobre a área: Precisamos de um analista de Web Analytics com perfil analítico e domínio em ferramentas de analise de dados e tracking digital. Responsável por estruturar plano de coleta de dados app e web, dashboards e…
The Data Engineering Manager will lead a team of data engineers and a product manager to maintain and evolve the company's data transformation tools, specifically Databricks and Astronomer. The role focuses on team leadership, roadmap definition, budget management, and fostering professional growth within the Data Factory.
Senior data analyst builds and monitors product metrics, designs interactive dashboards, and documents business logic using SQL, BI tools, and DWH technologies.
At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for DevOps and ML Engineers to support our customer projects around machine learning and data processing across…
Senior Full Stack Engineer building healthcare data platforms that connect and activate health records using Python, Go, TypeScript, React, AWS, and Snowflake.
Оператор Газпром ИД (ГИД) - динамично развивающаяся высокотехнологичная компания в составе Группы компаний Газпром. Мы создаем доступные ИТ-решения, формируем цифровое будущее и пеняем подходы к трансформации,…
Freelance Technical Solutions Engineer at a GenAI data-labeling startup, building and deploying AI training pipelines for enterprise clients using Python and data tools.
The Data Engineer will join the Pricing Analytics team to build and maintain data pipelines and ML infrastructure for real-time pricing algorithms. The role involves collaborating with data scientists to productionize models using Databricks, AWS, and Airflow.
The Data Engineer will design, develop, and maintain data pipelines and data warehouse architectures to support analytics initiatives. The role involves optimizing data quality and scalability while collaborating with cross-functional teams using technologies like SQL, Python, Spark, and SAP systems.
Build and maintain a self-service data platform for a biotech AI startup, enabling researchers to securely access and process large multimodal biological datasets using cloud infrastructure and modern data tools.
As an Analytics Engineer on Vinted’s Payments Intelligence team, you design, build, and maintain data pipelines, models, and reporting systems for the new Vinted Pay payment service and other payments-related projects, using SQL and data engineering tools like DBT, BigQuery, and Airflow.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Data Platform Engineering based in the United States. This is a senior…
Джи Эф Си – это foodtech компания, которая занимается дистрибьюцией продуктов питания в сегмент HoReCa, а также разрабатывает IT решения для взаимодействия с этим сегментом. Компания существует с 2004 года,…
Coches.net, Motos.net and Milanuncios.com are among the leading online marketplaces in Spain, connecting millions of buyers and sellers every month. We're looking for an exceptional Data Analyst to help us…
Data Scientist analyzes property risk from natural disasters using diverse data sources, builds monitoring tools, and supports decision-making with statistical methods and cloud-based workflows.
Build and maintain ML infrastructure including data pipelines, ETL workflows, and model deployment using Python, Docker, Kubernetes, GCP/Azure, and orchestration tools like Airflow or Kubeflow.
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