AI Software Development Engineer II, Cloud Computing Technologies Agile Development Labor Rate has strategic technical responsibilities that include analyzing existing AI technologies and models, and identifying the best approach to improve them in solving new organizational problems. Collaborate with AI scientists, in business and academia, for research aimed at improving the pool of knowledge available in the Artificial Intelligence field. Through excellent software engineering skills, design, develop, and integrate new ideas that are sufficient to meet new needs into the development framework of new AI software. Document procedures and processes that lead to the success development and deployment of all AI software for future references. Ever-ready and dedicated to designing and developing in-demand and scalable artificial intelligence algorithms. Consult higher-level and lower-level team members, organizational leaders, and all groups of end-users to identify areas of needs and consequently design and implement solutions that meet those needs. May have a certification in computer science, computer engineering, software development, software engineering, artificial intelligence, statistics, or other related disciplines. Possess 6-10 years of relevant experience in AI software development and automation system development and deployment. Possess excellent knowledge of modern-day Programming Languages such as Python, Java, C++/C, Perl, SQL, My SQL, and so on. Capable of learning new programming languages and software engineering tools when the need arises. Highly experienced with AI software architectures implementation, AI coding review tools, and open source AI coding platforms. Have proficient knowledge of software development tools such as TensorFlow, Numpy Python, Keras, and PyTorch. Familiar with API testing tools such as JMeter, Karate, Fiddler, Citrus Framework, and so on. Have sound familiarity of code assessment and review tools such as Crucible, Visual Expert, Gerrit, Veracode, GitHub, and so on.
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