Position: R&D | Data Scientist/ML Engineer (DL/CV)
Category: Data Science
English level: upper
Years of experience: 3

• Developed SOTA Human Head Pose Estimation approach with the best accuracy among one-stage detectors (3.4 MAE) and Head Pose Augmentation

• Improved Instance Segmentation model's accuracy for AR Glasses by 30% (from 20 to 26 mAP)

• Was a major contributor to Samsung's Instance Recognition framework

• My master's work dedicated to Head Pose Estimation problem is recognized as the best in 2022 according to Computer Science Department of Karazin Kharkiv National University

• Conducted ML-related seminars
3 years of industrial R&D experience in Samsung Ukraine. 

Main area of expertise is Computer Vision field with focus on latest approaches in Classification, 2D/3D Object Detection, Semantic/Instance Segmentation, Pose Estimation and Spatial Understanding for mobile and AR devices with further commercialization.

• Expertise in Deep Learning: transfer learning, CNN architectures, model optimization/quantization
• Expertise in Python, OOP, SOLID
• Experience with SQL
• Experience with EDA, Feature Engineering, Tabular Data and tools (numpy/pandas/sklearn)
• Familiarity with GAN: Pix2Pix, CycleGAN, WGAN, StyleGAN
• Familiarity with AWS, C++, Docker
• Used to constant research of novel approaches for non-trivial engineering tasks
• Able to effectively communicate and collaborate

MSc in Computer Science.
Full-remote possibility
Efficiency is measured by results, not hours of work
Friendly team ;)