5 Career Paths That Use Machine Learning


When it comes to choosing a career path in technology, there are many directions that you can explore. You may want to pursue a career that’s focused on software, business, and cybersecurity, among others. There are numerous fields you can choose from, but depending on your interests and goals, you will want to focus on any one of those in particular. You can also focus on specific technologies like artificial intelligence, machine learning, and renewable energy. Whichever field you choose, you can create a business out of it or work for a larger organization that can give you a high salary, extensive benefits, and extra perks to keep you going. 

One topic that’s becoming more popular in the technology industry is machine learning. Machine learning is a branch of artificial intelligence that can be globally defined as the study of machines’ abilities to recreate or imitate intelligent human behavior. These abilities can be improved through complex computer algorithms and endless types of experiences and scenarios. If this is the field you want to work in, here are five careers to guarantee the use of machine learning.

1. Machine Learning Engineer

A machine learning engineer, or an ML engineer, is an IT professional who focuses on researching, designing, and building self-running systems known as artificial intelligence. ML engineers create algorithms that allow artificial intelligence systems to use automated predictive models. They can work in larger groups of scientists, data administrators, engineers, and analysts to develop said systems. 

During the process of building artificial intelligence systems, there exists a process called MLOps. MLOps refers to machine learning operations and practices that are used to deploy and maintain machine learning models during production. Once a model is developed and evaluated, it becomes ready for end-users, and it can make predictions on new user data that’s entering the system. These systems can save companies an innumerable amount of money when making accurate predictions based on their data.

2. Computational Linguist

When it comes to speaking to computers, there’s a small yet appreciated group of professionals who need to be mentioned. These professionals are called computational linguists. These types of linguists are in charge of building systems that can perform tasks like speech recognition, grammar checking, and text mining, among other big data applications. To become a computational linguist, you will need programming skills such as Python, Java, Perl, and Linux, and you have the chance to work for large companies like Google and NSA.

3. Software Developer

Another career you can consider in the machine learning industry is the software developer career. This is a common career any college counsellor can help you figure out. They will ask if you have or want to develop programming skills, mathematical skills, and business skills. As a software developer, you can work in any field you want and develop solutions for many disciplines—from biology to psychology and everything in between. You can develop software programs for desktop or laptop computers, smartphones, and tablets, among other technologies.

4. Data Scientist

Data scientists are among the most sought scientists in the working industry. This is due to the exponential need for professionals that can handle and work with large samples of data and create productive solutions for other businesses and the government. A career as a data scientist will require you to use scientific methods, algorithms, and different types of systems to gain knowledge and insight from structured or unstructured data across many domains. Some of the things data scientists work on include predicting diseases, developing health care recommendations, optimizing GPS routes in real time, and detecting tax fraud.

5. Business Intelligence Developer

Lastly, as a professional in the machine learning industry, you can work as a business intelligence developer. This profession includes the use of business software to interpret and display data for an organization. To work as a developer of this sort, you will need an advanced degree (in most cases), proven experience in the industry, and an understanding of database management, online analytical processing (OLAP), and ETL (extract, transform, load) frameworks.

These careers are perfect for anyone who has a passion for the future of technology.


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