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The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The number of projects is growing, and with them, our team too. And now we need a Middle/Senior Computer Vision Engineer. We are looking for an experienced Computer Vision engineer to join our AI team who is eager to actively contribute to the development of the company’s research and pre-sales activities. We are open to new ideas for implementation within the R&D center and also offer the opportunity to join our ongoing projects.
Job Responsibility:
Actively contribute to the development of the company’s research and pre-sales activities
Contribute to new ideas for implementation within the R&D center
Join ongoing projects
Tasks related to: Sensor fusion
Deep fake
Image generation
3D Reconstruction
Requirements:
MS/PhD degree in Computer Science or related field
Upper-Intermediate level of English is mandatory
3+ years experience in Computer Vision / Machine Learning
Understanding of state-of-the-art CV approaches
Proficiency in Python, including expertise in key CV / DL libraries such as OpenCV, TensorFlow, PyTorch, Keras etc.
Experience with some of the well-known neural networks architectures such as YOLO, MobileNet, U-Net, R-CNN-based architectures etc.
Experience with Git, Docker, Linux
Nice to have:
Involvement in pre-sales and research activities
Experience with generative ML techniques such as diffusion models, GANs, VAEs, and transformer architectures
Hands-on experience with MLOps system architecture using Hadoop, Kubernetes, cloud services (GCP/Amazon/Azure)
Experience in full-cycle project development
What we offer:
Use the latest technologies
Participate in technical events and conferences (the cost is covered by the company)
Regular techtalks and professional development
Build strong teamwork skills and become an essential part of dynamic teams
Improve your English in classes and speaking directly with clients
Increase your productivity and communication level via Scrum, Kanban, and Agile methodologies