Machine Learning Scientist Career Path
How To Become a Machine Learning EngineerA machine learning engineer designs and creates artificial intelligence algorithms to perform certain tasks. If you have a strong background in mathematics and computer science, you might benefit from a career as a machine learning engineer. In this article, we cover the five steps needed to become a machine learning engineer.
Obtain a degree in computer science or mathematics.
To become a machine learning engineer, you need a strong grasp of computer science, computer programming, data science, and mathematics. Ideally, you should have an undergraduate degree in one of those disciplines. Alternate degrees in physics and statistics are also applicable. Some companies might require an advanced degree, which you can obtain in computer science, statistics, math, data science, software engineering, or a related discipline.
What type of degree should you pursue to become a Machine Learning Engineer?
68% of people working as a Machine Learning Engineer earned a Bachelor's Degree
What skills do you need to be a Machine Learning Engineer?
- Machine Learning
- Deep Learning
- Python SAS
Get programming experience.
You might also be able to transition from a role as a software engineer or data engineer into a career as a machine learning engineer. Regardless, one of the most important factors to getting a machine learning engineer job is to obtain experience in computer programming where you hone your coding skills. Python is the most popular programming language that machine learning engineers use simply because it's so easy to learn and well supported. Other programming languages you should learn include R, Java, and C++.
Familiarize yourself with concepts and tools.
Once you've learned programming languages, you should become familiar with commonly used tools and concepts that machine learning engineers use. For instance, many engineers use tools such as Spark, TensorFlow, and Apache Kafka, so make sure you know how to use those. You will also be tasked with training chatbots or virtual assistants, so you need to understand informational retrieval, natural language processing, and regression models.
Land an entry-level job as a software engineer.
If you have aspirations of working as a machine learning engineer, you should know that this isn't an entry-level job. You must work your way up after you gain experience. One job that can help you hone your skills in becoming a machine learning engineer is software engineer. In this position, you will use your experience in computer science, engineering, and math to write, test, and fix computer programs. You might be asked to analyze and design software systems, write training manuals, and work directly with software developers and programmers to bring an entire project together.
Earn a certification, like in Microsoft Azure or Google Cloud Platform.
Certification can be a valuable asset if you're in consulting and want to signal to your potential employer that your skills meet certain standards. A professional certification might also help you obtain a management position by proving you have the skills and knowledge. Consider accessing one of the three certifications offered by the following companies:
- Microsoft Azure: Microsoft offers associate-level certifications for data scientists and artificial intelligence engineers.
- Google Cloud Platform: Google is working on a machine learning engineer certification, but it currently offers a data engineer certification.
- Amazon: Amazon offers a specific machine learning certification, unlike the other two. This is the most popular certification option for machine learning engineers.
Machine Learning Scientist Career Path
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