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!
The Machine Learning Engineer is a high-tech professional with a knowledge of both computer programming and data science. They work in a variety of industries such as government, energy, fashion and healthcare to train computers to do humanlike things. This includes tasks like facial recognition, data collection, sales predictions or running tests. In manufacturing, the Machine Learning Engineer might also train robots to do factory jobs such as product inspection or assembly.
A four-year degree in electrical engineering, mathematics or computer science provides a great foundation for work in this field. Nonetheless, many Machine Learning Engineers have post-graduate training in software engineering or a related area.
Retailers and ecommerce businesses use Machine Learning Engineers in areas of marketing and advertising. They will train computers to collect data from consumers to forecast sales or recommend products for purchase. In addition, in the marketplace industry, the Machine Learning Engineer might use artificial intelligence to prevent fraud or predict fashion trends. Some potential employers include grocers, fashion designers, farmers and interior designers.
The Machine Learning Engineer in the marketplace industry should have experience in data science, business analytics and software design. They must have good communication skills and the ability to explain technical concepts to non-technical staff people. A knowledge of programming languages such as R, Python, Java or C++ is also helpful.
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!