Computer Vision Engineer

As a Computer Vision Engineer, you will be responsible for developing cutting-edge computer vision solutions for industrial AI applications. Your key responsibilities will include: - Developing computer vision solutions for industrial AI applications - Building and optimizing image processing and video analytics pipelines - Designing and implementing object detection and recognition models - Working with OpenCV, YOLO, TensorFlow, and deep learning frameworks - Developing and deploying Edge AI solutions using NVIDIA Jetson platforms - Optimizing model performance for real-time and low-latency applications - Collaborating with engineering and product teams to build scalable AI solutions - Performing model evaluation, tuning, and performance optimization - Supporting deployment and integration of AI models into production systems - Staying updated with the latest advancements in Computer Vision and AI technologies To excel in this role, you should have: - 4-10 years of experience in Computer Vision / AI development - Strong hands-on expertise in OpenCV, YOLO, TensorFlow, and deep learning frameworks - Experience in image processing and video analytics - Knowledge of Edge AI and NVIDIA Jetson platforms - Strong understanding of computer vision algorithms and model optimization - Experience in building real-time AI applications - Strong analytical and problem-solving skills - Ability to work in fast-paced and innovation-driven environments If you have experience in industrial AI or edge computing projects, a strong understanding of deep learning and AI deployment workflows, a passion for AI innovation, and emerging technologies, along with excellent communication and collaboration skills, you would be the ideal candidate for this role. As a Computer Vision Engineer, you will be responsible for developing cutting-edge computer vision solutions for industrial AI applications. Your key responsibilities will include: - Developing computer vision solutions for industrial AI applications - Building and optimizing image processing and video analytics pipelines - Designing and implementing object detection and recognition models - Working with OpenCV, YOLO, TensorFlow, and deep learning frameworks - Developing and deploying Edge AI solutions using NVIDIA Jetson platforms - Optimizing model performance for real-time and low-latency applications - Collaborating with engineering and product teams to build scalable AI solutions - Performing model evaluation, tuning, and performance optimization - Supporting deployment and integration of AI models into production systems - Staying updated with the latest advancements in Computer Vision and AI technologies To excel in this role, you should have: - 4-10 years of experience in Computer Vision / AI development - Strong hands-on expertise in OpenCV, YOLO, TensorFlow, and deep learning frameworks - Experience in image processing and video analytics - Knowledge of Edge AI and NVIDIA Jetson platforms - Strong understanding of computer vision algorithms and model optimization - Experience in building real-time AI applications - Strong analytical and problem-solving skills - Ability to work in fast-paced and innovation-driven environments If you have experience in industrial AI or edge computing projects, a strong understanding of deep learning and AI deployment workflows, a passion for AI innovation, and emerging technologies, along with excellent communication and collaboration skills, you would be the ideal candidate for this role.