КОМПАРУС.ЮА працює з 2008 року. На сьогодні в дніпровській команді понад 80+ 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.
10 января 2022

Machine Learning Engineer



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

We offer:

  • 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

Our requirements:

  • 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

Will be a plus:

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


  • 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