The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is... Wait, it's nothing! The number of projects is growing, and with them, our team too. And now we need a Middle-Senior Computer Vision Engineer.


  • Strong knowledge in computer vision fundamentals i.e. OpticalFlow, HOG, feature detection algorithms, Hough Transform, Haar Cascades, Homography, Morphology, Denoising/Deblurring, and image processing algorithms.
  • Strong Python knowledge;
  • Strong practical experience with DL/CV frameworks like OpenCV, PyTorch, MXNet, Tensorflow, or Keras.
  • Experience with some of the well-known neural networks architectures such as Yolo, MobileNet, U-Net, R-CNN-based architectures;
  • Understanding state-of-the-art CV approaches for problems like object detection/tracking, video analysis, semantic segmentation, pose estimation, optical character recognition
  • Upper-intermediate level of English mandatory

Would be a plus:

  • Experience with R, C++
  • Experience with the following modern neural network architectures: LSTM and other RNN-based, Transformers(BERT, etc.)
  • Familiarity with time-series predictive/anomaly detection analyses, natural language processing, signal processing
  • Understanding SOTA approaches for machine learning problems like unsupervised / semi-supervised learning.
  • Experience with the following DL frameworks: DLib, Darknet, Theano.
  • Awareness of the CRISP-DM process model
  • Experience with continuous integration and release management tools, preferably within the AWS platform.
  • Hands-on Experience with the common architecture of MLOps system by the means of Hadoop, Docker, Kubernetes, cloud services and experience with managing production ML lifecycle
The application is designed to predict that a dam is about to be breached.
It would be time-series sensor data from sensors in the ground combined with satellite imagery to predict that a dam is about to be breached. Dataset analysis and creation, Data visualization, Data modeling.
Main technologies:
Python, OpenCV, Pytorch/Keras/Tensorflow

About the AI&ML team

The company’s AI&ML department was formed in 2019. During this time, the team managed to improve skills significantly and release a lot of projects. Our specialists are now actively working on the development of Data Science, Machine Learning, Audio ML, Computer Vision, and NLP directions.
Every day, the AI&ML department is faced with new exciting, and one might even say fantastic tasks. In solving them, the team conducts an expert assessment, is engaged in research, and finds truly unique solutions. Each new project gives a chance to learn something new in the Artificial Intelligence field.

  • 6 years — the average work experience 
  • 10 specialists 
  • Continuous growth 

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