Summarize the following:
As a machine learning engineer, you’ll be tasked with solving specific problems using your employer’s internal data. To do this, you’ll need to come up with and test out various experimental algorithms that yield results relevant to the task at hand. Once you come up with a good algorithm, you’ll have to create a machine learning system that can run it automatically. Depending on the task at hand, your algorithm may operate on its own or it may interact with the organization’s existing digital systems. In addition to the more creative aspects of machine learning, you’ll have to manage the infrastructure that makes your engineering operations possible. It will be your job to ensure that data gets from 1 point to another without running into any trouble. Once you’ve established yourself with a company, you may reach a pay ceiling based on your current education level. To gain additional raises and promotions, you may have to get a machine learning certification, earn a degree, or participate in specialty courses. Some companies will fund your additional education, though others will require you to pay out of pocket for it.
Create and run machine learning experiments. Build and implement machine learning systems. Ensure the data pipelines run smoothly. Participate in educational programs to earn promotions.