Computer Vision/Deep Learning Scientist fully remote

Computer Vision/Deep Learning Scientist- 100% remote Exciting opportunity for a Computer Vision/Deep Learning Scientist to work with various product teams across various business units to define high-impact business problems, solve them using novel techniques, and execute and monitor them throughout their lifecycle. RESPONSIBILITIES: • Design, develop, and implement novel computer vision algorithms for unique use cases. • Evaluate accuracy and quality of the designed models as well as data sources. • Research to stay up to date with the latest technologies/algorithms. • Work in a very collaborative capacity and environment. • Operate at a highly technical level and require advanced skills with computers and proficiency with Open-Source tools and technologies This is a 6-month contract with a high opportunity to extend. This Position is hybrid, 3 days in office, however if you are located outside of the Atlanta area the role can be fully remote. Excellent opportunity for a long-term contract, located in Midtown with close access to MARTA. BRAND NEW OFFICE BUILDING! Paid parking, several new amenities. REQUIRED SKILLS: • Computer Vision: Experience with Open-Source tools and technologies such as Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision. • Computer Vision: Working Projects directly related to Image Segmentation, Image Augmentation, Image Localizer and Image Classifier. • Excellent knowledge of Python and industry experience with TensorFlow, Keras and/or PyTorch. • Experience with image processing using Deep Learning (semantic segmentation, object detection, classification). • Familiarity with various CNN architectures (VGG16, ResNet, MobileNet, etc). • Experience with traditional image processing techniques (e.g., use of OpenCV, skimage). They work on dedicated GPU machines and run their models in parallel on GPU Clusters. • Bachelor s, Master s or Ph.D. in Mathematics, Computer Science, Electrical Engineering, Machine Learning, Statistics or related field PREFERRED SKILLS: • Experience in enterprise environments Must be authorized to work in the US. Sponsorships are not available.