How to Become a Machine Learning Engineer
What Does a Machine Learning Engineer Do?
Machine Learning Engineers are highly skilled programmers who develop artificial intelligence (AI) systems that use large data sets to research, develop, and generate algorithms that can learn and make predictions.
Overall, this role is responsible for designing machine learning systems, which involves assessing and organizing data, executing tests and experiments, and generally monitoring and optimizing the learning process to help develop strong performing machine learning systems.
Many job descriptions call for knowledge of programming languages like Python, Java, and C/C++.
What Is the Difference Between a Data Analyst and a Machine Learning Engineer?
While a Data Analyst combines data sets with the goal of generating insights that can be used by organizations or leaders, a Machine Learning Engineer uses data sets to develop programs that enable machines to run with minimal human intervention. These programs need to be able to handle the vast amount of data that businesses are collecting today as well as run smoothly within the existing ecosystem.
For example, a Machine Learning Engineer might develop something like Spotify’s recommendation engine or a program for a self-driving car.
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.