LR102 Deep Learning Solution Architect II

Deep Learning Solution Architect II, Cloud Computing Technologies Agile Development Labor Rate designs and implements Artificial Intelligence (AI), deep learning, and machine learning solutions that meet organizational needs for efficiency. Capable of developing and implementing cutting-edge deep learning technologies to simplify workflow, ensure organizational security, and enhance customer experience. Evaluate an assess organizational systems and implement high-performance analytics for organizational applications and algorithms. Collaborate with data scientists, researchers, information technology managers, and technical account managers in enhancing accelerated computing capabilities of the organization. May have a Bachelor or Doctorate degree in Computer science, Physics, Data science, Computer engineering, Mathematics, or any other related technical fields. Capable of working in constantly changing and challenging environment. Have strong verbal and information presentation skills, as well as excellent collaboration and social skills. Capable of implementing innovative solutions based on organizational technology. Possesses the ability to hold confidential information, including DOD security clearance. Have deep understanding of deep learning, machine learning, graph analytics, signal processing, parallel programming, data analytics work flows, and computer vision. Experienced in utilizing deep learning applications such as Torch, Caffe, and TensorFlow, among others. Experienced in GPU computing technology, CUDA programming, and HPC architecture for parallel programming. Deep Learning Solution Architect II may be proficient in programming languages such as C/C++/Perl/Python/Java and in the implementation of relational databases. Possesses CUDA optimization, HPC and organizational computing systems deployment, Cloud development and deployment, deep learning and machine learning software development, and data analytics capabilities. Have understanding of the interaction between software and hardware architectures on the performance of organizational applications and systems. Capable of designing and implementing automated systems through deep learning technologies to improve organizational operations and functions. Deep Learning Solution Architect II work under the supervision of the Senior Deep Learning Solution Architect.

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