Informacje o stanowisku

Here's 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

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