LR110 Deep Learning Architect II

$106.50

Deep Learning Architect II, Cloud Computing Technologies Agile Development Labor Rate design and implement deep learning solutions, choose the right deep learning technologies, and evaluate the evolution of deep learning architecture as the organization’s needs evolve. Builds self-learning systems that are relevant for current organizational needs and are able to so as to remain relevant in the nearest future.

SKU: LR110 Category:

Deep Learning Architect II, Cloud Computing Technologies Agile Development Labor Rate creates deep learning solutions, chooses the right deep learning technologies, and evaluates the evolution of deep learning architecture as the organization’s needs evolve. Capable of developing new and maintaining current deep learning architecture using the best artificial intelligence technology frameworks. Must be able to understand client’s needs and be capable of translating those needs into meaningful business solutions that can be implemented. Analyze data to make informed decisions and work towards following all guidelines and global best practices in deep learning technologies. Keep abreast of new deep learning technologies and rapidly evolving trends in the artificial intelligence technology world. Possesses the skills needed to use deep learning tools in detecting common deviations in coding standard to prevent application security risks. May have 6-10 years of experience in the deep learning profession or equivalent certifications in lieu of years of experience. May have bachelor’s degree or master’s degree in related fields such as computer science, data science, or any AI-related discipline. Possesses strong knowledge of a number of programming languages such as Python, Perl, Java, LISP, C++, and machine learning/deep learning frameworks such as TensorFlow, Pandas, NumPy, PyTorch, Keras, and so on. Possesses strong organizational and interpersonal skills, including the ability to work as a great teammate. Capable holding confidential information and technological secrets. Self-motivated, with the desire to solve complex business problems using advanced deep learning tools and algorithms. Tests current deep learning technologies and train and retrain them to maintain their efficiency and improvement. Works under the supervision of the Senior Deep Learning Architect. Builds self-learning systems that are relevant for current organizational needs and are able to so as to remain relevant in the nearest future. Works under the supervision of the Senior Deep Learning Architect.

Brand

Cloud Computing Technologies

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