● Proficiency with Python, minimum 3+ years of experience;
● Experience with Google Cloud or AWS;
● Network programming (media streaming, p2p);
● Experience with external API’s (REST, SOAP, WebSockets);
● SQL/No SQL Databases;
● Experience with image/video processing;
● Experience with statistical data;
● Machine Learning;
● Jetson SoC (TX2/Xavier) experience.
A team of experts in the field of Data Science & Machine Learning, who are open to share knowledge and experience and often act as speakers at technical conferences in Ukraine and abroad.
Support in training and development, starting from free English courses in the office and developing IDP to paying for Ukrainian and foreign conferences and other events.
Well, of course: medical insurance, 24 calendar days of vacation, paid sick leave and more.
And yes, by the way, our office is a
In this role, you will help the team to complete the integration of existing components and deliver new functionality for our computer vision and AI-powered sport tech products. One of the major areas is to create a cloud-based remote management app for our own AI-powered cameras. This app will be able to control cameras, perform software updates remotely, and efficiently handle video streams from multiple devices. Also, you will work on the new features for the camera backend application, deliver API and business logic for statistics web portal.
SoftConstruct is one of the innovators in the field of big data and computer vision among Ukrainian companies. We combine our extensive experience in the development of SportTech software with advanced technologies to develop original software for sports statistics, risk analysis, and security.
Realtime sports tracking: AJNA
This is a highly accurate real-time video analysis framework with a zero operator’s assistance for in-game events extraction and processing, object tracking, situation reconstruction.
Framework’s supportive utility to correct missed tracks, neural network mispredictions, or statistics errors to reach perfect accuracy for a post-game summary.
Main Goals: Highly accurate real-time video analysis framework with a zero operator’s assistance for in-game events extraction and processing, object tracking, situation reconstruction.
Additional Goal: Framework’s supportive utility to correct missed tracks, neural network mispredictions or statistics errors to reach perfect accuracy for a post-game summary.
Applied usage: Delivering the statistical information for tactical analysis for sports teams and coaches; extending live broadcasts with additional analysis information; collecting individual player’s statistics to create additional features in the iGaming industry.