Key Responsibilities:

Design, develop, and implement computer vision algorithms and systems for various applications, including object detection, recognition, tracking, and 3D reconstruction.
Conduct research and experiments to improve the performance and accuracy of computer vision systems.
Collaborate with cross-functional teams to understand product requirements and develop solutions that meet those requirements.
Stay updated with the latest advancements in computer vision technologies and integrate them into our products and services.
Mentor and provide guidance to junior engineers on computer vision techniques and best practices.
Write high-quality code and perform code reviews to ensure the quality and scalability of the system.
Perform thorough testing and debugging of computer vision algorithms and systems.
Stay organized and maintain proper documentation of the development process for future reference.

Qualifications:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Minimum of 5 years of experience in computer vision, machine learning, or a related field.
Strong background in computer vision techniques such as image processing, feature extraction, and pattern recognition.
Proficiency in programming languages such as Python, C++, and MATLAB.
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience with popular computer vision libraries such as OpenCV, Caffe, and YOLO.
Familiarity with cloud computing platforms and experience with cloud-based development.
Excellent problem-solving and analytical skills.
Strong written and verbal communication skills.
Ability to work independently and in a team environment.

Join our team and be a part of our mission to revolutionize the world of computer vision.

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