LR086 Deep Learning Microservices Engineer II

Deep learning microservices Engineer II, under strict supervision, build intricate computer vision applications utilizing the latest techniques in Python, OpenCV, NumbPy, and other technologies. Comprehend the functions of computer vision and apply it in intelligent automation systems. Discover artificial intelligence initiatives that are required to produce computer vision applications. Establish practical implementations and applications such as hand recognition, face recognition, object recognition, and tracking and motion analysis systems. Develop and optimize ML algorithms for energy-constrained devices. Identify and examine crucial ML and DL technologies and algorithms, evaluating how they will impact existing products, users, and partners. Cooperate with product teams to develop IP hardware and software. Report results to key partners and publish research within the general ML/DL ecosystem. Able to apply robust working knowledge learning frameworks such as Pytorch and Tensor flow. Develop system and program design plans and determining how to integrate machines and programs. Help to develop systems that can transmit data effectively and writing complex computerized code to direct parts of the neural network to function properly. Help to manage data science prototypes and choose related data sets and representational methods to facilitate decision making. Build adaptive learning capabilities and algorithms in collaboration with data scientists. Create deep learning systems using analytics, monitoring, performance testing, and experimentation. Possess an advanced degree in computer science, mathematics, physics, or any other closely related field. Has 6-10 years of experience developing foundational Machine Learning technologies, including model training and algorithm optimization. Able to display excellent Python and C++ coding skills. Possesses problem-solving and critical thinking skills. Stay up-to-date with research and attend conferences in the Machine Learning, Deep Learning, and Artificial Intelligence fields. Analyze review systems and code to identify issues or areas for improvement. Works under the the supervision of the Senior Deep Learning Microservices Engineer.