LR088 Senior Deep Learning Microservices Engineer

Deep Learning Engineer has in-depth knowledge characterized by thorough research for the development of deep neural networks and the extraction of information from technically encrypted data algorithms. Create programs or machines that have the ability to function independently of human control. Provide inbuilt deep learning machine control mechanism that is void of physical exertion but automatic progression. The team are passion driven and experienced in thier respective fields to achieve desired results. It aims to generate programming procedures that function like the human brain. Deep learning engineer when appropriately supervised, can assist in the creation of new models and systems that function without human assistance. Deep learning Engineers possess in-depth knowledge and experience for processing aerospace multispectral designs and images. Work hand in hand with system developers capable of developing the best and state of the art machinery through distinctive linear and nonlinear programming. Deep learning engineers have superb problem-solving skills. Highly experienced in diagnosis and debugging of errors with machine learning algorithms. Explicit experience with the structure and optimization of data pipelines. Undertake performance tests on subsisting receptacles to check for speed and accuracy. Showcase expertise in software engineering and data modeling fundamentals. Formulate newer models in artificial intelligence that can transform the AI industry. Have excellent communication skills that enable them to get along with users and teammates without creating communication barriers. Have a minimum of 11 years of experience training deep neural networks, including CNNS, GRUs, and LSTMS. Deep learning engineers must have appropriate qualifications, such as master’s degree or a Ph. D in statistics, mathematics, computer science, electrical engineering or any equivalent discipline. Management and curation of data sets to enable them plan and write functional specifications for a variety of deep learning algorithms and must be conversant in data modelling fundamentals. There is appropriate supervision of the team by the senior deep learning Engineer.