So You Want to be a Machine Learning Engineer? - DATAVERSITY

Ideally, a machine learning engineer would have both the skills of a software engineer and the experience of a data scientist and data engineer. However, data scientists and software engineers usually come from very different backgrounds, and data scientists should not be expected to be great programmers, nor should software engineers be expected to provide statistical summaries. Nonetheless, a background in machine learning algorithms and how they can be implemented is critical to the machine learning engineer (MLE). An MLE works with different algorithms and applies them to different codebases and settings. Previous experience with software engineering and codebase would provide a very useful foundation for this career field.