Инвестиции в технологические проекты.
Разработка высоконагруженных корпоративных информационных систем и сервисов для ритейла, логистики, электронной коммерции, банков, fintech, FMCG, фармацевтики и многих других.
Разработка высоконагруженных корпоративных информационных систем и сервисов для ритейла, логистики, электронной коммерции, банков, fintech, FMCG, фармацевтики и многих других.
РАЗРАБОТКА И ИНТЕГРАЦИЯ
- Research Data ScientistPhyton Notebooks | Jupyter
Analyze industry trends, technologies and approaches, research professional articles on trends and solutions. Create new products and new approaches. - Full stack Data Scientist
Phyton | ML | DL | Spark
Specialists providing Machine Learning and Data Science projects from start to finish. create models and bring them to production. - ML EngineerPhyton | ML | DL | Spark | Scala | GO | C++
Ensure stable and efficient operation of created models during operation in an industrial environment. Improve models. - Data AnalystPhyton | ML | DL | Spark
Find patterns in analyzed data that are used to make decisions. Form hypotheses to work with data and build models. Conduct hypothesis tests.
- Data EngineerPhyton | ML | DL | Spark | Scala | GO | C++
Work with data, ensure its accumulation, storage and transfer. Structuring data. - MLOps Engineer
AirFlow | MLFlow|
Create the infrastructure for working with data (training, deployment and support of models). Ensure stability of the created models. - Backend EngineerJava | .NET / C# | PHP | Node.js | Python | Golang |C++ | Ruby
Develops backend for working with models and data, ensures Data Science models are integrated with business applications. - Project manager AIAgile | Scrum | MS Project | PMBOK | CRISP-DM
Management of Data Science research projects in the field of artificial intelligence (data analysis, machine learning).
Describe the problem for which you need to develop a solution