Machine learning is a critical component of artificial intelligence systems, with which AI is more effective today.
Therefore, enterprises that deploy AI solutions need machine learning engineers to make the most of these systems.
So, how do you start a career in this exciting field?
Here’s how to become a machine learning engineer.
Who Are Machine Learning Engineers, and What Do They Do?
Machine learning engineers work alongside data scientists to transform data into workable information (algorithms) for AI systems.
Additionally, they extend ML libraries and develop machine-learning applications according to client needs.
Learn Coding With Python
Machine learning involves a great deal of programming.
Therefore, you should be fluent in major programming languages like Python, C++, and Java.
However, you might start with one programming language, so you keep your brain clear of jargon.
Python is a fairly easy programming language to start with.
Furthermore,must-know machine learning algorithmsare used to develop machine learning systems, like deep learning algorithms.
Hence, a good background in machine learning algorithms will serve you as a machine learning engineer.
Therefore, you must have a solid educational background.
Here are some of the best online courses on machine learning you could start with:
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Furthermore, a bootcamp is a great avenue to build a good portfolio.
Likewise, you might take up personal projects and develop machine-learning solutions to real-life situations.
Here are somemachine learning project ideas for beginners.
Here are some of the best bootcamps to solidify your grasp of essential machine learning concepts and practices.
Get Professional Certifications
Obtaining professional certifications is a great way to boost your career as a machine learning engineer.
Therefore, increase your value in the industry by acquiring professional certificates.
To become a certified machine learning professional, look at these programs.
Hence, networking with other professionals in the industry is critical to your success as a machine learning engineer.
The benefits of joining a professional association and networking within the industry are far-reaching.
For one, it helps you stay updated on the latest industry trends and find career development opportunities.
Therefore, find a body of professionals in the industry to join and connection with.
LinkedIn, MeetUp, and Jobcase are great places to seek these connections.
Apply for Machine Learning Engineering Roles
The final step to becoming a machine-learning engineer is to land machine-learning jobs.
Then, grow through the ranks as you build confidence to take on bigger projects and roles.
Leading companies like Google and Netflix have machine learning integral to their operations.
This increase in machine-learning utilization spells an increase in demand for machine-learning engineers.
