Key Responsibilities:

Lead and manage a team of computer vision engineers to deliver high-quality solutions for our clients.
Develop computer vision algorithms and techniques for object detection, recognition, tracking, and classification.
Design and implement state-of-the-art deep learning models for image and video analysis.
Explore and evaluate new technologies and techniques in computer vision to improve the performance and accuracy of our solutions.
Collaborate with product managers, software engineers, and other stakeholders to define and prioritize project requirements.
Mentor and guide junior engineers to improve their technical skills and knowledge in computer vision.
Communicate technical concepts and solutions effectively to both technical and non-technical team members.
Stay up-to-date with the latest advancements and trends in computer vision and apply them to our projects.

Qualifications:

Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, or a related field.
Minimum of 8 years of experience in computer vision, with at least 3 years in a leadership or senior role.
Strong knowledge and hands-on experience with computer vision algorithms, including feature extraction, image segmentation, and object recognition.
Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages such as Python, C++, or Java.
Experience with cloud computing platforms and tools, such as AWS, Azure, or GCP.
Excellent problem-solving skills and the ability to think creatively to overcome technical challenges.
Strong communication and leadership skills with the ability to collaborate effectively with cross-functional teams.
A passion for staying updated with the latest advancements and trends in computer vision.

Join our team and be a part of revolutionizing the world of computer vision!

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