Computer Vision Engineer

Role Overview: As a Computer Vision Engineer with 3+ years of experience, you will be responsible for developing and deploying cutting-edge computer vision algorithms and deep learning models for various applications. Your expertise in image processing, machine learning, and deep learning will be crucial in designing and implementing state-of-the-art computer vision solutions. Your role will involve research, model optimization, and real-world deployment of computer vision systems. Key Responsibilities: - Develop and deploy computer vision algorithms and deep learning models using Python, OpenCV, and YOLO. - Design and implement computer vision models using the latest techniques and frameworks. - Analyze unstructured data like images through image processing techniques. - Evaluate and optimize existing computer vision systems for improved performance and accuracy. - Test and validate computer vision code and models to ensure robustness and reliability. - Research and implement new computer vision technologies to stay updated in the field. - Collaborate with cross-functional teams to develop innovative solutions meeting project requirements. - Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. - Maintain and update computer vision systems to ensure continued functionality and relevance. - Provide technical support and guidance to team members and customers using computer vision systems. Qualifications Required: - Must have 3+ years of experience as a Computer Vision Engineer. - Proficiency in CUDA and NumPy. - Experience with Docker/Kubernetes, Firebase/AWS SNS, and REST APIs. - Strong knowledge of image processing, machine learning, and deep learning. - Hands-on experience in developing and deploying computer vision algorithms and deep learning models. - Familiarity with Python, OpenCV, and YOLO.,