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

• 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, Tensor Flow, 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 Work Genius.