Deep Learning Engineer

develop computer vision methods and algorithms for real-time video event analysis; develop methods and algorithms for information security, including data protection, trusted authentication, and anti-spoofing; conduct experiments, analyze results, and optimize model quality; implement research into products and deploy them at customer sites; prepare scientific publications for high-level international journals and conferences (Q1, A/A*)

Requirements

deep understanding of the mathematical foundations of ML/DL and modern model architectures (in the field of video and image analysis); practical experience in solving Computer Vision tasks; proficient Python 3.10+, deep knowledge of PyTorch; experience working with OpenCV, FFmpeg, Docker, and tools for the development and maintenance of ML projects (Git, MLflow, ClearML, W&B, etc.); English language at a level sufficient for free reading and analysis of modern scientific literature; ability to conduct experiments, analyze results, and competently present them to colleagues and customers

Higher education — Bachelor's degree; Experience: 3 years