Computer Vision Engineer developing sports technology for Hawk - Eye Innovations. Focused on improving tracking algorithms for tennis using computer vision techniques.
About the role
- Computer Vision Engineer developing and optimizing computer vision models at Ultralytics. Leading projects from research to deployment for cutting-edge AI solutions.
Responsibilities
- Developing, training, and optimizing state-of-the-art computer vision models, with a primary focus on the Ultralytics YOLO ecosystem.
- Implementing advanced data augmentation and preprocessing techniques to improve model robustness on diverse datasets.
- Leading the full lifecycle of model development, from research and training to validation and performance benchmarking.
- Mastering model export to various formats such as ONNX, OpenVINO, and TensorRT to support a wide range of hardware.
- Working on model deployment strategies, including optimizing models for high-performance inference on both cloud and edge devices.
- Contributing to our CI/CD pipelines using GitHub Actions to ensure code quality, reliability, and automated testing.
- Collaborating with the team to push the boundaries of what's possible in object detection, segmentation, and other core computer vision tasks.
Requirements
- 5+ years of hands-on experience in Computer Vision and Deep Learning.
- Expert-level proficiency in Python and deep expertise with PyTorch.
- Strong practical experience with OpenCV for image and video processing tasks.
- Proven experience in training, fine-tuning, and deploying object detection models, particularly within the YOLO family.
- Familiarity with model optimization techniques such as quantization and pruning, and deployment frameworks like TensorRT and OpenVINO.
- Experience with MLOps tools and practices, including version control (Git), Docker, and CI/CD with GitHub Actions.
- Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
- A strong portfolio of projects or contributions to open-source AI repositories.
Benefits
- Cutting-Edge-next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework.
- Impactful Work: Shape the future of AI-powered solutions that transform industries.
- Collaborative Culture: Join a talented and passionate team that values open communication and innovation.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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