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
requirements-expected :
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
offered :
Sport subscription
Private healthcare
Training budget
International conferences
Modern Office, no dress code & young team
Bonus policy
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
