Feel that you need a career change? The position that you’re in may just not be fulfilling anymore, and you feel like you could use a change of pace in your line of work.
Or maybe you just want to try something new. Your current position may not be challenging enough for you, and you want a job that’s exciting and gives you new opportunities to grow in the field.
No matter what the case may be, the answer can be found in a career as a Machine Learning Engineer.
Machine Learning Engineer jobs are growing faster than ever before, and there’s no better time than now to get into the field.
So what’s this field all about, and why should you look into it? Well, we have the answers that you’re looking for.
Employment 101: All About Being a Machine Learning Engineer
You’ll learn that this job is a rewarding one with many chances for growth, new opportunities, and an unforgettable work experience. Keep reading to find out more.
What Do They Do?
As you already know, today’s world is completely powered by technology. Even the most labor-centric of jobs have some sort of computer programming working behind the scenes to make the job run smoothly.
Machine learning jobs also use technology to get things done, but they do so within the relatively new field of Artificial Intelligence.
The machine engineer’s job is to program machines to be able to carry out specific tasks. More specifically, they create programs that allow machines to take action without being specifically told to perform those tasks.
This works quite similar to the AI software embedded in your smartphone, but the difference is that they usually work on machines outside of the general computer realm.
For example, machine learners may take a car and program it so that it can drive itself without the need for human intervention. The machine is using the AI software to make the car move all on its own.
The services that machine learners offer are very helpful to the work community and to society in general.
What they create helps to find out multiple factors such as what people need to conduct acts of business or to carry out successful transportation. All in all, their work factors in closely with how people today use technology.
What Do I Need to Know?
The field of machine learning is a vast one that’s full of rewards. However, there are certain requirements you need to meet before you can become one.
For starters, in order to work as a machine learner, you have to have at least a Master’s degree (though a doctoral will, of course, give you a higher title and more financial benefits).
More importantly, you really need to take time to know your demographic. Who are you creating the technology for? How could it really be beneficial to the public? A lot of research is placed into making sure you know what you’re doing.
There are also a handset of skills that you should have beforehand, and they may or may not be incorporated into your Masters or Doctoral program.
A strong grasp of computer science and programming is an obvious must, seeing as this field works almost exclusively with computer technology. Make sure you know all of the ins and outs of computer software before you try to apply.
It also helps tremendously to have a lot of mathematics under your belt. The software used in machine learning tends to be math based, with many numbers and equations that go into creating the AI unit.
Knowing about Probability, Statistics, and other algorithm-based subjects is needed to understand the software you’re creating.
How Good Are the Benefits?
As challenging as it may sound to get into the field of machine learning, the rewards are definitely worth it.
First of all, the pay you receive is incredible, with the average salary being in the triple digits. Just last year, the median salary was over $106,000, which is definitely on the higher end of the earning spectrum.
The growth prospects look equally as promising, if not more so. It’s been proposed that by the year 2024, there will be an 11 percent increase in the job openings.
Thanks to outsourcing projects, many companies overseas are also in need of machine learners who are willing to give their expertise to the program. In fact, more of these jobs are appearing each year as new uses for AI tech emerge.
That means that more companies than ever are in need of a machine learner, and the number of positions will continue to grow. You won’t have to worry about struggling to find a job anytime soon.
Machine learners are also one of the highest titles in the AI community. When you hold the title of machine learner, you will be above most computer programmers and will be a leader in the AI department at your company.
When you add in the financial gains, the respectable title, and the room for growth, you can clearly see that being a machine learner is nothing short of an amazing career.
All that we’re missing is you. Let’s get to it.
Find Your Next Career in Data Science
Now that you know all about what it takes to be a machine learning engineer, you need to know where to go to get your future job. Luckily for you, we’ve got you covered.
At Data Science Career Options, we help people find careers in all branches of data science. Take a look at our entire list of opportunities that cover everything in the data science community and discusses how data science effects the world.
If you know what niche you want to work in, you can search by industry as well. We have links to biotechnology, government, finance, healthcare, and others that could be just right for you, so make sure to have a look at the list.
Come check out our site. We look forward to having you here.