Key Responsibilities:

Lead the research, design, and development of advanced computer vision algorithms and systems for a wide range of applications.
Collaborate with cross-functional teams, including software engineers and data scientists, to integrate computer vision technology into our products and services.
Develop and maintain computer vision models, algorithms, and libraries, ensuring high performance and accuracy.
Conduct thorough testing and evaluation of computer vision systems, and implement improvements to enhance their performance.
Explore and implement new techniques and technologies in the field of computer vision to improve our products and services.
Mentor and guide junior engineers, providing technical leadership and expertise in computer vision.
Stay up-to-date with the latest developments in computer vision research, and incorporate them into our technology roadmap.

Qualifications:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Minimum of 8 years of experience in computer vision, with at least 3 years in a leadership role.
Strong proficiency in programming languages such as Python, C++, and/or Java.
Deep understanding of computer vision techniques and libraries, such as OpenCV, TensorFlow, and PyTorch.
Proven track record of developing and implementing computer vision algorithms and systems for real-world applications.
Experience with deep learning and machine learning algorithms and frameworks is highly desirable.
Excellent analytical and problem-solving skills, with a passion for pushing the boundaries of computer vision technology.
Strong leadership and communication skills, with the ability to collaborate effectively with cross-functional teams.

Apply now and take the next step in your career as a Principal Computer Vision Engineer.

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