Deep Learning Engineer

Candidate should have: Working experience in performance tuning of end-to-end (E2E) service APIs Design and refinement of deep learning algorithms through all layers of an application such as frontend, integration, application, and business logic. Working experience with tools such as Tensorflow, Pytorch, MxNet, or other deep learning libraries. Dependency management as well as source code control such as Git Experience developing in cloud-based applications (AWS, Google Cloud Platform, Azure) Bachelor's Degree in computer science or related field and 4+ years of industry experience Proven python skills Familiarity with security best practices Familiarity with ML operations services such as SageMaker or other industry standards. the ability to adapt verbal, written communication to the aud