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Job Title: AI and Machine Learning Engineer Job Code: GW-09102319482343 Salary Range: DOE Job Location: USA City: Houston, TX    State: TX JOB DESCRIPTION:
You are: An expert engineer with an eye for AI. You want to change how the world works and lives by taking AI out of the lab and into everyday life. The work: Use deep learning and machine learning to solve business problems Run deep learning and machine learning projects from beginning to end Work on projects that cover everything from business understanding to model building, validation, and deployment Use Accenture tools and techniques Report on your progress regularly in writing and face-to-face Stay up-to-date on new products that clients could use Tweak existing methods and procedures to create solutions to moderately complex problems Use your judgment to craft solutions to complex problems or seek guidance as needed Prototype and demonstrate products for clients in customer environments. Work with peers and senior colleagues in Accenture and at client companies Help the sales team identify and classify opportunities Find out where clients need help and produce “as is” and “to be” scenarios Implement management’s strategy Here’s what you need: At least 1 year using AI or machine learning to solve real-world business problems At least 1 year working as a consultant or in another client service firm At least 2 years working with system integration architectures, private and public cloud architectures, pros/cons and transformation experience At least 1 year helping take AI and machine learning products from design to deployment Bonus points if: You’ve got a Master’s degree in statistics, econometrics, mathematics, or deep learning architectures including convolutional, recurrent, autoencoders, GAN’s, and ResNets You know your way around cognitive tools like Microsoft Bot Framework & Cognitive Services, IBM Watson, Amazon and AI services You know everything there is to know about data structures and algorithms You’re a coding wizard with Python, C# (.NET), Scala, MxNet, CNTK, R, H2O, TensorFlow, PyTorch, cuDNN, NumPy, and SciPy
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