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Machine Learning Engineers use their skills in mathematics and statistics to train computers. Also referred to as algorithms, these computations will help the computer to gather and analyze data for a number of purposes. Without the need for programming, the computer establishes patterns for healthcare surveys, advertising, online product recommendations and newsfeeds. They might also teach a computer to see (often referred to as computer vision).
The Machine Learning Engineer works in a variety of industries such as governmental agencies, manufacturers, energy companies and healthcare institutions. Along with mathematics, an aptitude for computer programming is necessary to excel in this field. Some programming languages used in machine learning include C++, R, Python, Scala and Julia.
Machine Learning Engineers may find job opportunities with farms, restaurants, governmental agencies and food television networks. In the food and beverage industry, they will use their machine learning and artificial intelligence skills to design and test prototypes, detect food anomalies or schedule restaurant deliveries. The concept of machine learning is also improving the agricultural industry in areas of crop growing, vegetable sorting, disease prevention and plant breeding. In social media, restaurants might also use computer vision to analyze dish ingredients and create a workable recipe.
Along with a bachelor’s degree in computer science or engineering, the Machine Learning Engineer working in the food and beverage industry should also have strong communication and project management skills.
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!