Career Mentor Insight's with Kanth

What is Major Assets of an AI Engineer

03.02.2020 - By KanthPlay

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 Major Assets of an AI Engineer, AI Engineers build, test, and deploy AI models as well as maintain the underlying AI infrastructure. They are problem solvers who can navigate between traditional software development and machine learning implementations.

In a nutshell, machine learning is a relatively novel approach at solving some problems in the computer science that were traditionally hard to solve such as for example, building a program that will successfully recognize handwritten text. Machine learning is founded on algorithms that parse large sets of data and learn from this data, without being programmed in the traditional sense of the word  that is without relying on a series of steps but rather learning from the data that is fed into machine learning algorithms.

 An AI Engineer also needs to understand both traditional and agile approach in software development life cycle including continuous integration, continuous delivery and continuous deployment (CI/CD). They also must understand various testing practices including test driven development and behavior driven development.

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