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Computer Vision Engineer
3 months ago
Seeking a talented and motivated Computer Vision Engineer to join a research team. The ideal candidate will have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a focus on object detection, depth detection, and other techniques applicable to live camera environments.
Requirements:
- Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial)
- Strong programming skills in Python; proficiency in C++ is a plus
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Solid understanding of computer vision principles and techniques, including object detection, depth estimation, image segmentation, etc
- Hands-on experience with developing computer vision algorithms and models
- Familiarity with image processing techniques and libraries
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
Computer Vision Engineer - Inside IR35 - 6 month Initial Term
Seeking a talented and motivated Computer Vision Engineer to join a research team. The ideal candidate will have a passion for exploring cutting-edge techniques in computer vision, with strong skills in Python (C++ proficiency is a plus) and experience with machine learning frameworks such as TensorFlow or PyTorch. This role will involve conducting research and developing advanced computer vision algorithms and models, with a focus on object detection, depth detection, and other techniques applicable to live camera environments.
Requirements:
- Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision or machine learning (beneficial)
- Strong programming skills in Python; proficiency in C++ is a plus
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Solid understanding of computer vision principles and techniques, including object detection, depth estimation, image segmentation, etc
- Hands-on experience with developing computer vision algorithms and models
- Familiarity with image processing techniques and libraries
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Published research in computer vision or related fields.
- Experience with deploying computer vision solutions in real-world applications.
- Knowledge of optimization techniques for real-time performance.
- Familiarity with hardware acceleration techniques for computer vision tasks (e.g., GPU, FPGA).
- Experience with cloud-based computing and services.
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