Computer Vision Engineer

Responsibilities:

• Design and implement computer vision algorithms for tasks like object detection, image segmentation, etc.
• Develop and train deep learning models using frameworks like TensorFlow or PyTorch.
• Evaluate and optimize the performance of computer vision models.
• Integrate intelligent video analytics solutions within our Video Management Systems (VMS).
• Collaborate with engineers and researchers to ensure seamless integration of computer vision components.
• Stay up-to-date on the latest advancements in computer vision research and development.

Qualifications:

• Engineer's/Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Strong understanding of computer vision fundamentals, including image processing, deep learning, and machine learning.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Experience with programming languages like Python and C/C++/C#.
• Familiarity with embedded computing platforms such as the Nvidia Jetson.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.