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. Your expertise in image processing, machine learning, and deep learning will be crucial in designing and implementing computer vision solutions using Python, OpenCV, and YOLO. Your role will involve research, model optimization, and real-world deployment of computer vision technologies. Key Responsibilities: - Develop and deploy computer vision algorithms and deep learning models for various applications. - Design and implement computer vision models using state-of-the-art techniques and frameworks. - Explore and analyze unstructured data like images through image processing techniques. - Analyze, 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 with the latest advancements. - Collaborate with cross-functional teams to develop innovative solutions that meet project requirements. - Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. - Maintain and update computer vision systems to ensure their continued functionality and relevance. - Provide technical support and guidance to team members and customers using computer vision systems. Qualifications Required: - 3+ years of experience as a Computer Vision Engineer. - Proficiency in Python, OpenCV, and YOLO. - Hands-on experience with CUDA and NumPy. - Knowledge of Docker/Kubernetes for containerization. - Familiarity with Firebase/AWS SNS for cloud services. - Experience working with REST APIs for communication between systems. 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. Your expertise in image processing, machine learning, and deep learning will be crucial in designing and implementing computer vision solutions using Python, OpenCV, and YOLO. Your role will involve research, model optimization, and real-world deployment of computer vision technologies. Key Responsibilities: - Develop and deploy computer vision algorithms and deep learning models for various applications. - Design and implement computer vision models using state-of-the-art techniques and frameworks. - Explore and analyze unstructured data like images through image processing techniques. - Analyze, 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 with the latest advancements. - Collaborate with cross-functional teams to develop innovative solutions that meet project requirements. - Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. - Maintain and update computer vision systems to ensure their continued functionality and relevance. - Provide technical support and guidance to team members and customers using computer vision systems. Qualifications Required: - 3+ years of experience as a Computer Vision Engineer. - Proficiency in Python, OpenCV, and YOLO. - Hands-on experience with CUDA and NumPy. - Knowledge of Docker/Kubernetes for containerization. - Familiarity with Firebase/AWS SNS for cloud services. - Experience working with REST APIs for communication between systems.