LR085 Deep Learning Microservices Engineer I

Deep Learning Microservices Engineer I is responsible for the development of systems that can transfer data efficiently and script programming codes to direct components of the neural network to run effectively. Expected to stay informed and with the progress and developments that have been achieved in their field to ensure that their technological knowledge stays up-to-date. Helps in writing and reviewing lines of programming code by using different programming languages. Uses analytical skills to help in reviewing systems and codes to determine areas with problems as well as areas that require improvements. Coordinates with other members of the team with the aim of developing effective deep learning systems for the organization. Participate throughout entire design and development processes of cutting-edge deep learning algorithms. Offers creative and innovative ideas in developing microservices production code and provides support as needed. Helps in the development of prototypes and the execution of many microservices experiments to help guide engineering efforts. May have a minimum of a Bachelor’s degree in computer science, mathematics, computer engineering, or any other related field with extensive industry experience. Knowledgeable and proficient in the use of different computer programming languages, and platforms, including working Python, Matlab, Linux, and C++. Experienced in microservices applications engineering and highly versed in deep Learning libraries like TensorFlow and Pytorch. Attentive to details and possess expert problem-solving, strong analytical, communication (in oral or written, and forms), and strong presentation skills. Have the ability to work both independently and with a team to meet the project objective. Possess the ability to swiftly learn new skills and knowledge required for a project in a fast-paced work environment. Works under the guidance and supervision of the Senior Deeep Learning Microservices Engineer.