A Modern Marvel: What a Machine Learning Engineer Actually Does
These days it is not too far-fetched to say that the phrase “machine learning” is thrown around a lot in the tech world, and as a result, machine learning engineers are on everyone’s hot list. Many people know that they need machine learning engineers to get jobs done, but most are not aware of what, exactly, a machine learning engineer does on a day-to-day basis. Read on to correct this dearth of information and enhance your company’s understanding of what the machine learning engineers are actually doing.
Happy Medium: The Middle Person Between Data Science and Software
All day, data scientists strive to come up with big ideas and models that will use every huge packet of data they have. Engineers and programmers will try to perfect their programs so your company’s software is strong. For machine learning to work correctly, both of these worlds must come together. Luckily, this is exactly what a machine learning engineer is trained to do. Many machine learning engineers have the programming knowledge required to tweak models and fine-tune software, and they also possess a deep enough understanding of data science to know what an effective, scalable data framework looks like. The data scientist and the engineer don’t cross-train because they’re specialists, but a machine learning engineer is the critical bridge between the two workers, and they will make these processes run as smoothly as they can.
Reality Shapers: Bringing Lab-tested Models to Life
Many technicians and engineers will watch software programs run through tests all day to tweak things further toward perfection, and the framework will hold up all right. Sending that program and its framework into the real world, however, is a different task entirely. The inputs and feedback inherent in a real setting, where many different users will use the technology to do many different things, are enough to strain even the most finely tuned products. Yet someone has to make sure your products continue working, even when unforeseen developments affect them. A machine learning engineer has the knowledge and skills required to put your products safely into the real world, and they will do everything they can to keep software apps and products running smoothly so customers are happy.
Process Perfecters: Testing and Improving Every Aspect of Technology
Having the knowledge to keep software running smoothly involves another important job: testing and improving models and products. A machine learning engineer not only keeps your programs up-to-date, they are also the team members who are most capable of seeing how to improve your programs. This is invaluable. Machine learning engineers are trained to spot inconsistencies and flaws, and they can smooth out these kinks and push your product further than even the data scientists thought it could go. Machine learning engineers may be at the center of your data technology team, but they are truly on the cutting edge of technological prowess.
When your company needs a tech-savvy every person to make things run smoothly, a machine learning engineer is your best bet. They have enough knowledge to be a jack-of-all-trades, and their specialized skills ensure they will improve every aspect of the technology they tinker with.
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Joshua Crawford | Managing Director | PROPRIUS