Senior Computer Vision Engineer

Job Summary:
Creative Chaos is seeking a Senior Computer Vision Engineer to join our dynamic team. The ideal candidate will have extensive experience in developing and deploying computer vision algorithms and solutions. You will be working on exciting projects that involve image and video analysis, enabling advanced functionalities and enhancing product experiences through cutting-edge technology.

Key Responsibilities:

• Design, develop, and implement computer vision algorithms and systems.
• Work on projects involving object detection, image segmentation, and facial recognition.
• Collaborate with cross-functional teams to integrate vision solutions into broader applications.
• Conduct research to stay abreast of the latest trends and advancements in computer vision technologies.
• Optimize existing algorithms for performance and efficiency in real-world applications.
• Analyze and process large datasets to training and evaluation of computer vision models.
• Document your work for reproducibility and knowledge sharing among teams.
• Mentor junior engineers and share best practices for developing computer vision solutions.
• Participate in code reviews and ensure adherence to best coding practices and standards.

Requirements

• Bachelor's or Master's degree in Computer Science, Computer Vision, or a related field.
• 5+ years of experience in computer vision or image processing.
• Strong proficiency in programming languages such as Python and C++.
• Experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, Keras, or PyTorch.
• Deep understanding of machine learning and deep learning techniques in the context of computer vision.
• Experience with image and video analysis, as well as real-time processing.
• Strong analytical and problem-solving skills.
• Excellent communication skills to work effectively across teams.
• Ability to mentor and lead junior engineers and foster a collaborative environment.

Benefits

• Paid Time Off
• Health Insurance
• OPD
• Training and Development