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Machine Learning Engineers

Overview

Artificial intelligence is technology that can be programmed to perform tasks and functions in an “intelligent” manner that mimics and learns from human decision-making processes. It is used in a wide range of fields, including banking, transportation, health care, agriculture, security, human resources, astronomy, shipping, accounting, and the military. Artificial intelligence (AI) is typically added to existing products, and not sold as an individual application. Machine learning (ML) is both a form of AI and a method of data analysis that is used to help computers study data, identify patterns or other strategic goals, and make decisions with minimal or no intervention from humans. In ML, computers are taught to learn and act on their own. Machine learning engineers (MLEs) develop algorithms [sets of instructions that allow a computer to perform a specific task or group of tasks] that allow computer programs to learn and automatically improve their performance as they acquire more experience completing a certain task. Then they build and maintain scalable machine-learning solutions, monitor the process to ensure that the software works correctly and logically, and develop processes and tools to monitor and assess model performance and data accuracy.

Salary Range

$75,000 to $100,000+

Minimum Education Level

Bachelor's Degree

Certification/License

Recommended
Personality Traits

Problem-Solving

Technical

Curious

Career Ladder
Consulting Firm or Software Development Company Owner

Chief Technology Officer

Director of AI

Project Manager

Machine Learning Engineer

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