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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM50434

The Impact of AI on the Job Market of Machine Learning Engineers

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM50434

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem50434

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DKS

Dhiraj Kumar Singh

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Abstract

In the given research paper, the drastic effects of the artificial intelligence (AI) on the employment market of machine learning engineers are explored regarding the changing trends in employment, required skills, and workforce issues. Due to the further development of AI technologies, they are changing the roles and responsibilities of machine learning engineers, automating routine tasks and making way to specialization and strategic participation. With the help of the mixed-method research design and a combination of the quantitative survey and qualitative analysis, the study unveils that, although AI-powered automation transforms the landscape of job opportunities and roles, it also requires unceasing upskilling and flexibility of professionals. The results show not only the positive prospects of the career development but also the issues of the fast technological change, access to training, and aggravated competition. Based on the discussed ideas, this paper presents several practical suggestions that may be recommended to job seekers, employers, educational institutions, and policymakers to make the workforce more resilient to the current AI-driven changes in the machine learning engineering field.

KEYWORDS

artificial intelligence machine learning engineer job market employment trends automation skill development workforce transformation

Cite This Article

Dhiraj Kumar Singh, "The Impact of AI on the Job Market of Machine Learning Engineers," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/ijsrem50434

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Publication Date

6/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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