Computer Vision Engineer

Key Responsibilities: •Develop computer vision solutions for machine learning applications. •Design deep learning models using frameworks like PyTorch, TensorFlow, and OpenCV. •Implement algorithms for object detection, segmentation, classification, and tracking. •Work with large datasets for image processing and develop scalable models. •Deploy models on edge devices to optimize inference efficiency and resource utilization. •Collaborate with data scientists to understand project requirements and deliver solutions. •Implement and evaluate model performance to ensure accuracy and efficiency. •Stay up to date with the latest techniques in deep learning and classical computer vision Qualifications: •Bachelor s degree in Computer Science, or related field. •3+ years of experience in computer vision. •Strong skills in Python and experience with deep learning frameworks like PyTorch and TensorFlow. •Experience with computer vision libraries such as OpenCV. •Proficiency in classical computer vision techniques, including SIFT, SURF, feature extraction, image manipulation, and calibration. •Experience in deploying models to edge devices for real-time computer vision applications. •Strong understanding of Data Structures and Algorithms (DSA) with hands-on coding experience. •Strong experience working with large-scale datasets. •Excellent communication and collaboration skills.