Key Responsibilities:

Lead the development and implementation of computer vision algorithms and technologies for our products.
Work closely with product managers, designers, and engineers to define computer vision requirements and develop solutions that meet business needs.
Provide technical leadership and guidance to the computer vision team, ensuring that best practices and standards are followed.
Conduct research and evaluate new computer vision technologies and techniques, and make recommendations for their integration into our products.
Design and implement computer vision models and algorithms, and optimize them for real-time performance.
Develop and maintain computer vision pipelines, and ensure that they are scalable and efficient.
Collaborate with data scientists and machine learning engineers to integrate computer vision capabilities into our machine learning models.
Stay up-to-date with the latest advancements in computer vision and related fields, and apply them to improve our products.
Mentor and train junior computer vision engineers, and help them grow in their careers.

Qualifications:

Bachelor's degree in Computer Science, Electrical Engineering, or a related field. Master's degree preferred.
Minimum of 5 years of experience in computer vision development and implementation.
Strong knowledge of computer vision algorithms and techniques, such as image processing, object detection, and tracking.
Experience with computer vision libraries and frameworks, such as OpenCV, TensorFlow, and PyTorch.
Proficiency in programming languages like Python, C++, and Java.
Familiarity with deep learning techniques and frameworks, such as CNNs and Keras.
Experience with cloud computing platforms, such as AWS or Azure.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Demonstrated ability to lead and mentor a team.

Join us and be a part of a dynamic team that is pushing the boundaries of computer vision technology.

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