Responsibilities:

• Development and optimization of services for a distributed system for processing data obtained from images.
• Development, application and optimization of image processing algorithms both classical methods and machine learning methods.

Qualifications:

• Experience with graphic information (normalization of images, feature extraction, analysis of graphic information).
• The ability to implement in one of, or in several languages: C ++, C #, Python.
• Experience with libraries and frameworks is encouraged, but not limited to this list: TensorFlow, Ml.NET ITB, OpenCV, .NET Framework.
• Understanding the principles of OOP, the concept of the essence of the SOLID approach.
• Аbility and desire to write tests for your code.
• Technical english (reading documentation).​​​​​​​

The major pluses are:

• Experience in the development of loaded distributed systems.
• Understanding the concept of microservices.
• Experience with Microsoft Azure / Amazon AWS infrastructure.
• Experience with NoSQL solutions (DynamoDB, ElasticSearch, Mongo DB), data buses (Service Bus, RabbitMQ, etc.).
• DevOps experience: ability to work with Docker, TeamCity, Octopus Deploy, PowerShell.
• It will not be superfluous to attach links to projects in which you participated, a profile on GitHub, if you have something to brag about.

Social Package:

• In-office gym, tennis table;
• Under-roof bike parking;
• Sport compensation;
• Health insurance;
• English Classes;
• In-company library:any technical literature that you've ever dreamed about;
• Advanced training courses and professional conference participation payment;
• Paid certification;
• Flexible schedule;
• Social events and team buildings;
• Holiday gifts;
• Tea and coffee in the office;
• Constant professional development, interesting work in a friendly team, broad opportunities for professional and career growth.