Position: Middle Computer Vision Engineer
Category: Data Science
English level: fluent
Years of experience: 3

- Delivered native library and DL models that are being used by award winning TV fitness application.
- Helped other teams with technology transfer that, in turn, resulted in successful product deliveries.
Computer vision engineer working for Global 500 company with strong background in pose estimation and on-device optimizations.

Responsibilities:
- Research and develop deep learning solutions for object, face and face landmark detection, human pose estimation and activity classification.
- Implement and reproduce state-of-the-art research papers as well as integrate metric and performance increasing solutions into existing algorithms.
- Develop and maintain internal framework for various configurable training pipelines in different domains.
- Design and optimize models for on-device inference such as TVs.
- Integrate deep learning solutions into native end-to-end pipeline.
- Help and collaborate with other teams in Ukraine and overseas.
I'm looking for product oriented company with opportunities for professional growth.