Question

What is AI Engineer's roles and responsibilities?

Answer 1

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.

Answer 2

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.

Answer 3

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.

Answer 4

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.

Answer 5

The key responsibilities of an AI Engineer are:

• develops and optimizes AI models and algorithms.
• Managing data pipelines.
• Deploy AI solutions
• Improving ethical compliance

Programming skills, problem-solving skills, etc. Are required to become an AI engineer.