What is AI Engineer s roles and responsibilities

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What is AI Engineer's roles and responsibilities?
Nov 28, 2018 in Career Counselling by Ali
• 11,360 points
2,816 views

4 answers to this question.

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Here are some of them:

  • Set up and manage our AI development and production infrastructure.
  • Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
  • Build data ingest and data transformation infrastructure.
  • Identify transfer learning opportunities and new training datasets.
  • Build AI models from scratch and help product managers and stakeholders understand results.
  • Deploy AI models into production.
answered Nov 28, 2018 by Maverick
• 10,840 points
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An AI Engineer will have to write codes for the AI machine to function. This includes a lot of study of Machine Learning and Ai because the logic of the code written for the AI machine is based or certain mathematical/statistical logic. Hence an AI engineer should study the requirement, understand what logic should be applied and then write the code for the AI machine.
answered May 10, 2019 by Suman
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An Engineer could be an Engineer who writes codes or an Engineer who builds the AI machine (hardware).

A Software AI Engineer is required to write programs for the AI machine. And a Hardware AI engineer will have to assemble the machine, configure it and set it up for functioning.
answered May 10, 2019 by Tina
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Hi,

These are the roles and responsibilities of an AI Engineer's listed below:

AI Engineer is responsible for understanding the business problems, identifying/applying right AI or cognitive computing technologies to solve problems and involving in the formulation and execution of technologies recipes for commercial deployment.

  • Understand the business problem, challenge of existing technologies and areas of application for AI technologies.
  • Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
  • Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
answered Jul 2, 2019 by Gitika
• 65,910 points

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