Position: Data Scientist / Machine Learning Engineer (Middle, preferably Computer Vision)
Category: Data Science
English level: upper
Years of experience: 3


I have vast experience in a wide range of computer vision tasks (object detection and tracking, segmentation, classification) using classic computer vision algorithms and deep learning. A large part of my work included video and photo processing (video streams, video capture, frame analysis, camera calibration), face processing (face detection, facial landmarks, blink detection, head pose estimation, gaze estimation in 2D and 3D setup).
Side projects: template matching, person re-identification, face-antispoofing/liveness detection, 3D mesh denoising.

As a part of a startup research team, I was responsible for the analysis and implication of the SOTA approaches, faced different technologies, especially web application development processes, and had an opportunity to get experience in different tech roles. The main challenge was to create CV models that would have a plausible result on a limited resource (client-side computation).
Main tools:
- OpenCV, Dlib, OpenVINO
- DL libraries (Tensorflow, Pytorch)
- Numpy, Pandas
- Visualization tools
- Flask, Scrapy, Docker, docker-compose
Programming language: Python, also familiar with: C/C++, Rust, JavaScript, R
I would like to be responsible for tasks mainly related to the Computer Vision field but a small portion of tasks related to DS areas would be fine. 
My top priority is a company that seeks a team player for a solid team and projects NOT connected to gambling/bidding/gaming/advertising.  
It is important for me to have an opportunity for remote working mode and a flexible schedule