COMPARUS.UA працює з 2008 року. На сьогодні в дніпровській команді понад 70+ осіб, ще близько 40 — в німецькій команді (м. Гамбург). Ми спеціалізуємся на розробці внутрішнього програмного забезпечення для німецьких банків та інших фінансових організацій💶 та розробляємо власні продукти.
19 января 2021

Machine Learning Engineer


Необходимые навыки

— Machine learning (PyTorch, TF, OpenCV, PIL, Flair)
— Data Processing (Converting training data between different formats, complex pipelines)
— Software development (Python3, basic design patterns, HTTP, REST API).
— Solid experience in software engineering: modern software development practices and tools, concurrent and distributed programming, operating systems, computer networks, database systems
— Docker (Optimized images, docker-compose)
— Git workflow (branching, merging)
— English language (B1-B2)
— Ability to work independently and high attention to detail

Будет плюсом

— PDF processing experience
— Bachelor’s degree in Computer Science/Computer Engineering
— Strong communication skills and experience being a flexible team player


— enough work for all team players
— the possibility of business trips to Germany
— you can make your work interesting, we promote that
— cutting-edge technologies are welcome in our team
— we will try to motivate you as much as we can if you need that
— we know, that developers love hardware, we will try to make you happy with your working place
— friendly-professional atmosphere in a team, we like to work together :)
— there is no 9–18 schedule, unless it is adequate
— you can enjoy your vacation in the same way and amount as most of your friends
— when you are sick, we are sad with that and of course compensate it as working time


— Working with NLP, CV especially NER, Instance Segmentation, Classification tasks.
— Develop and test ML models and CLI for training pipelines.
— Working with WebServices (Flask)
— Creating Docker containers
— Data Visualization and Presentations

О проекте


Artificial intelligence: text document recognition and document classification based on machine learning and CFS platform

Customer: representatives of German financial branch

Job Overview: Developing and testing complex machine learning pipelines


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