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. Apply tot his job Apply tot his job Apply tot his job Apply tot his job Apply To this Job