Computer Vision Engineer

Design, develop, and optimize computer vision and deep learning models Train and evaluate image classification, object detection, and segmentation algorithms Build data preprocessing and annotation pipelines for image and video datasets Deploy machine learning models into cloud and edge environments Improve model performance through experimentation and optimization Collaborate with software engineers to integrate AI models into production applications Monitor production models and retrain as needed Stay current on emerging computer vision research and technologies Requirements Bachelor's degree in Computer Science, Engineering, or a related field 3+ years of experience developing computer vision applications Strong proficiency in Python Experience with PyTorch, TensorFlow, OpenCV, or similar frameworks Experience with object detection, image segmentation, and deep learning architectures such as YOLO or Vision Transformers Familiarity with cloud platforms including AWS, Azure, or Google Cloud Experience deploying machine learning models using Docker and Kubernetes is preferred Strong analytical, problem solving, and communication skills Hourly range is commensurate with experience and is an estimated range provided by WorkGenius. #J-18808-Ljbffr WorkGenius Group