5 Machine Learning Careers

What Skills Does Machine Learning Require?

There are several types of machine learning professionals, and their job responsibilities may overlap with other roles depending on the size of the organization. In general, machine learning solves complex problems. A Machine Learning Engineer, who is responsible for designing and managing platforms for machine learning projects, is one of the most sought-after AI experts. As Discover Data Science explains, machine learning engineers can often act as data scientists in small organizations.

Overall, Machine learning engineers must have the following skills:

• Fundamentals of Informatics

• Programming

• Mathematics and statistics

• Data science

• Deep learning

• Problem-solving

• Software Engineering and Systems Engineering

• Artificial intelligence

• Soft skills are also extremely important in machine learning jobs. This includes:

• Teamwork

• Good communication

• Organization

• Strong work ethic

 

What Kind of Jobs Can You Get with Machine Learning?

As machine learning grows, so do the associated jobs. Leaving students in front of a wide range of potential career opportunities that will be interesting, well-paid, and important in today's society. Below are some options for students interested in a career in machine learning:

1. Machine Learning Engineer

A machine learning engineer is an engineer who uses programming languages like Python, Java, Scala, etc. to experiment with their respective machine learning libraries.

What is the career of a machine learning engineer?

Here are the guidelines to follow:

1. Get your bachelor's degree

Acceptable degree options: Mathematics, Data Science, Computer Science, Computer Programming, Statistics, or Physics. Business understanding is also helpful.

2. Entry-level career

You usually can't make a career as a machine learning engineer, so it's best to start as a software engineer, programmer, software developer, data scientist, or computer scientist.

3. Master's degree and/or Ph.D.

Most machine learning engineer jobs require more education than a bachelor's degree. Try to get a master's degree in data science, computer science, software engineering, or even a Ph.D. in machine learning.

4. Keep learning

A career as a machine learning engineer means your education will never end. As technology evolves continuously, your need to always explore AI and understand new technologies becomes even more important. Many leadership qualities are also helpful.

 

2. Data Scientist

Data scientists analyze large amounts of data to gain valuable insight into where action can be taken. Data scientists are part mathematicians, part computer scientists, and part trend-following. They work in both business and IT, which makes them valuable employees. In fact, data scientists were America's number one job in 2020, and it's not slowing down. And because of the lack of competition, a career in data science is a very lucrative option.

To become a data scientist, you need a lot of education and a willingness to keep learning new technologies. Here are a few guidelines to follow if you are interested in a career in data science:

1. Develop an understanding of common programming languages.

While not necessary, this is a great place to start both pre-university and beyond. Since there are so many programming languages ​​available and understanding them will be an important part of your job, it would be helpful to have a solid understanding of each language.

2. Get a bachelor's degree

Statistics, computer science, information technology, mathematics, and, if accessible, data science are all common degree possibilities.  Or take an online program like Lighthouse Labs' 12-week data science training course to accelerate your career.

3. Work at an entry-level level.

Right after university, you will need to start as an associate to gain an understanding of the subject area and climb to the top. Junior Data Analysts and Junior Data Scientists are great job options.

4. Get a master's or Ph.D. degree.

As in many other professions, the more education you have, the more you will be in demand. Working as a data scientist is no exception, and furthering your education in data science, computer science, information technology, mathematics, or statistics will make your career better. Don't forget to look into data management software too!

5. Keep learning and working hard

If you are looking for a high-paying job as a data scientist, then be sure to work hard and keep learning to position yourself as best you can for every promotion.

 

3. Human-Centered Machine Learning Designer

To put it simply, human-centered machine learning designers create human-like systems that machines can recognize and process. As a result, humans are no longer required to manually design programs for each new piece of information. Instead, they help the machines learn human knowledge.

Human-centered machine learning designers' work can be found in a variety of places, including Netflix's recommendation page, the algorithms behind most social media platforms, and how Amazon decides what to recommend to you next.

 

4. Computational Linguist

As voice recognition becomes more and more popular in everyday technology, do the work that makes this software work. According to Value Colleges, "Computational linguists help computers learn to understand spoken languages ​​and continually improve existing systems because they often make mistakes." They also help computers learn speech patterns, and they can help computers acquire the ability to translate words into other spoken languages. In other words, if you are a fan of linguistics, languages, ​​and technology, this is the perfect job.

You will often find jobs for computer linguists in bank telephone systems, doctors' offices, and other customer service centers. This technology is also very popular for helping the blind, as well as for working with text-based applications. And the main ones that everyone uses - Siri, Google Translate, and spell checkers - are all pretty much popular computer linguistic systems.

 

5. Software Developer

Software developers often referred to as the creative brains of computer programs have the technical skills needed to create programs or oversee a team building them. The software they create allows users to perform specific tasks on a variety of devices. This can be anything from playing a game, creating a spreadsheet, watching a movie, or creating a new program. The software development career is a fast-growing area that is becoming more and more important for many companies.  Software developers usually combine some education with work experience to get into this area.