Machine learning engineers work in the artificial intelligence industry. They collaborate with data scientists, computer engineers and developers to create programs that allow machines to function without direct human assistance. The machine learning engineer creates models that ensure ML programs work according to requirements. They must be proficient in data science, statistics and software engineering. ML engineers create AI algorithms for social media, online stores, Internet of Things (IoT) products and self-driving cars among others.

The average machine learning salary, according to Payscale, is approximately $112,000.

Source: https://www.payscale.com/

The Role

The role can be described as an intricate mix of data science and software engineering. This is because machine learning engineers are tasked with feeding the data into data models that are defined by data scientists.

The role of a machine learning engineer is actually much better defined than that of a data scientist. Why? Because the companies that use that job title are the ones that have a very clear idea about how and why they want to utilize machine learning. In addition, Data scientist is a job title that’s often poorly defined.

Machine learning engineers are also responsible for scaling theoretical data science models to production-level models that can handle vast amounts of data in real time.

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