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Machine Learning Engineers are experts in programming and data science. A variety of industries have a need for these engineers including governmental agencies, healthcare facilities, retailers and finance companies. In this high-tech field, the Machine Learning Engineer will use algorithms to prompt a computer to collect data and analyze it for patterns. These patterns are useful for an array of tasks including sales forecasting, product recommendations, troubleshooting system failures and anticipating the stock market. Other aspects of this field include computer vision such as facial recognition.
To qualify for this position, a strong aptitude for mathematics and science is a must. Most Machine Learning Engineers have an advanced degree in electrical engineering, computer science, mathematics or a related field. Experience with coding or programming languages such as Python, Javascript, Scala, Julia and R is also required.
The electronics industry also hires Machine Learning Engineers. These engineers can find employment with appliance, automotive, lighting or computer manufacturers. Working in electronics, the Machine Learning Engineer might train robots, prototype electronic boards, teach computers to collect data for charging systems or program microprocessors.
A Bachelor's or Master’s degree in electrical engineering or computer science is required for Machine Learning Engineers. Coding experience along with a knowledge of electronics, Matlab computer programming systems and differential equations is often preferred.
Showcase your skill set, passions and career aspirations on your personalized Hired profile.
Respond to interview requests from employers for opportunities that match your goals and salary requirements.
Accept the opportunity that's right for you and start your next chapter!