Heres what you will do:

• Researching, prototyping and reverse-engineering of ML/DL algorithms in various sub-domains of Computer Vision and Generative AI
• Experimenting with real-world data to validate, evaluate and improve the algorithms
• Testing and deployment of deep learning algorithms on embedding systems

Here’s the background we’d like you to have:

• At least 5 years experience in data science
• Proven experience in tackling common computer vision tasks including image classification, detection, segmentation, face recognition, pose estimation, etc. & familiarity with popular architectures such as Vision Transformers, DeepLabv3, SegFormer, etc.
• Good command of deep learning framework PyTorch
• Solid knowledge of machine learning techniques and probability theory
• Experience in machine learning model deployment in a business setting
• Good command of Python and use of pertinent libraries for data analysis and machine learning like numpy, scipy etc.
• Working knowledge of version control systems like Git and SVN
• Creativity, good imagination and statistical thinking
• B2+/C1 level of English

Nice to have:

• Experience with Generative AI
• Team leadership skills
• Experience in CV sub-domains: Camera distance estimation, 3D human/object pose estimation, key points - 2D/3D, Semantic Segmentation, Object detection, Image-to-image translation, Domain adaptation, Representation learning.
• Hands-on experience with GAN (DC-GAN, CycleGAN, Pix-to-Pix and others), Wassertain-GAN, VAE, U-net, MaskRCNN, Yolov2/v3
• Technical writing skills

Work Methodology:

• Code reviews, SCRUM
• Build server – GitLab
• Conda, Docker, Bitbucket / JIRA / Confluence
• AWS / Azure
• Operating System – Linux

Benefits:

• Sport subscription
• Private healthcare
• Training budget
• International conferences
• Modern Office, no dress code & young team
• Bonus policy