How to Become a Machine Learning Engineer
Is Machine Learning a Good Career?
Yes, machine learning is a good career path. According to a 2019 report by Indeed, Machine Learning Engineer is the number 1 job in terms of salary, growth of postings, and general demand.
From 2015 to 2018, the number of postings for Machine Learning Engineer have increased 344 percent with the base salary reaching $146,085.
If you’re excited about data, automation, and algorithms, machine learning is the right career move for you. Your days will be filled with moving large amounts of raw data, implementing algorithms to process that data, and then automating the process for optimization.
Another reason machine learning is such a promising profession? There are so many career paths you could choose to take within the industry. With a background in machine learning, you can get a high-paying job as a Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, or a Human-Centered Machine Learning Designer.
Part of the reason these positions are so lucrative is because people with machine learning skills are in high demand and low supply. There have even been reports of bidding wars over AI talent as tech giants rush to secure the top minds in the industry.
Kick-Start Your Machine Learning Engineer Career
We offer a wide variety of programs and courses built on adaptive curriculum and led by leading industry experts.
- Work on projects in a collaborative setting
- Take advantage of our flexible plans and scholarships
- Get access to VIP events and workshops
Recommended Courses for Machine Learning Engineer
The Data Science Full-Time program is an intensive course designed to launch students' careers in data.
The part-time Machine Learning course was designed to provide you with the machine learning frameworks to make data-driven decisions.
The Python Programming certificate course provides individuals with fundamental Python programming skills to effectively work with data.
Taught by data professionals working in the industry, the part-time Data Science course is built on a project-based learning model, which allows students to use data analysis, modeling, Python programming, and more to solve real analytical problems.