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Machine Learning Engineers work in artificial intelligence. They give the computer the ability to think like a human. The artificially intelligent computer can compile information and come up with patterns that will help it to recommend products or even complete the sentences of the consumer.
A formal education in computer science or software engineering will provide the basics needed for this field. However, to be proficient, the Machine Learning Engineer must know both software development and data science. They must also be able to create algorithms that will manage these operations. This means the Machine Learning Engineer must be a problem solver and able to perform advance calculations. They must also be able to write code, review it and run software or app tests.
Jobs for Machine Learning Engineers exist with engineering groups, retailers, software developers and real estate firms.
In the telecommunications industry, the Machine Learning Engineer will use their knowledge and skillset to develop algorithms to solve problems such as service disruption. With artificial intelligence, advanced concepts such as face or language detection, competitor analysis and data collection is possible without human interaction.
To be successful in the telecommunications industry, the Machine Learning Engineer has to have a strong math aptitude with experience in probability theory, linear systems and statistics. An advanced degree in Electrical Engineering, Computer Science or a math related field is often required.
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!