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.
We from BEPEC are ready to help you and make you shift your career at any cost.
Anyone are interested for Career Transition Programs on ML / AI / DL / Data Science
get register here https://www.bepec.in/registration-form
For more details visit: https://www.bepec.in/
Check our youtube channel for more videos and please subscribe: https://www.youtube.com/channel/UCn1U...
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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.
We from BEPEC are ready to help you and make you shift your career at any cost.
Anyone are interested for Career Transition Programs on ML / AI / DL / Data Science
get register here https://www.bepec.in/registration-form
For more details visit: https://www.bepec.in/
Check our youtube channel for more videos and please subscribe: https://www.youtube.com/channel/UCn1U...
Check our Instagram page: https://instagram.com/bepec_solutions/
Check our Facebook Page : https://www.facebook.com/Bepecsolutions/