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 audience

Strong team player used to work in an agile (scrum) environment with tools like Jira

Solid understanding of best practices such as test-driven development and industry established code quality standards

Experience in Other language expertise like R, C++, Scala is a plus.

Experience with GPU-based training and optimization is considered a plus.