Sumanas Technologies - Computer Vision Engineer

Job Description

Job Overview We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse 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, ensuring robustness and reliability. Research and implement new computer vision technologies to stay at the forefront of 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 their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision : 5 years of experience as a Computer Vision Engineer. Bachelor's degree in Computer Science or a related field. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub. Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. (ref:hirist.tech) Show more Show less