About this role
FullStack is seeking an AI Computer Vision Engineer to join their talent network, connecting with U.S. clients for flexible, project-based development work. You will integrate directly into client teams, collaborating with designers and engineers to build and deploy production-grade computer vision solutions. Responsibilities: Design and deploy computer vision models in production environments. Utilize techniques such as image classification, object detection, segmentation, tracking, and pose estimation. Train, evaluate, and optimize models for performance, accuracy, and scalability. Manage data pipelines, dataset curation, and labeling strategies. Troubleshoot development and deployment issues. Maintain continuous integration and delivery (CI/CD) pipelines. Requirements: 3+ years of professional experience as an AI, Machine Learning, or Computer Vision Engineer. A four-year college degree. Proficiency in Python and modern ML frameworks like PyTorch or TensorFlow. Experience with vision libraries such as OpenCV, Detectron2, or YOLO. Solid understanding of deep learning architectures including CNNs and transformers. Advanced English proficiency. Ability to work 40 hours per week. Must be authorized to work in India; no visa sponsorship provided. Experience working on Agile/Scrum teams and large, complex systems is required.