SoftConstruct is the innovator in the field of big data and computer vision among Ukrainian IT companies with HQ in Armenia, Yerevan. 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.
26 марта 2021

Python Back-end Developer ( ML Project ) (вакансия неактивна)


Необходимые навыки

— 4+ years of experience in Python (Django);
— Experience with designing, implementing RESTful API’s ;
— Experience working on relational databases (PostgreSQL);
— Experience working on NoSQL databases (Redis);
— Experience working on job scheduling, task queues;
— Experience with Cloud Services (preference to Google Cloud Platform);
— Experience working on Linux, Kubernetes, Docker;
— Experience in incorporating and utilizing BDD / TDD / Unit testing;
— Extensive knowledge of best practices in software design and design patterns;
— Strong Computer Science fundamentals.

Будет плюсом

— Knowledge of another programming language;
— Some experience in Machine Learning.


— Interesting and challenging work in a product and data-driven company;
— Plenty of opportunities to learn, grow and progress in your career;
— We keep a work-life balance;
— Health insurance;
— Free English classes;
— Paid vacation 24 days and paid sick leave;
— Silent office near Lukyanivska metro station;
— Participate in R&D projects.


— Setup and maintain backend infrastructure;
— Participate in complex project design teams.

О проекте

We are looking for a Python Software Engineer for a challenging computer vision project. We are developing the risk management solution, a custom solution designed to automatically validate the information from the user. The product, based on advanced techniques of computer vision and data science. The application of neural networks makes it easy to determine the use of a photo editor, automatically process user data and compare it with the input data.

SoftConstruct conducts basic and applied research in four key areas: data science, computer vision, big data, real-time processing. Our experience is extremely wide: from working with complex computer and engineering systems, programming for data science — to developing and putting into practice innovative solutions in the field of sports, eSports, and security.