Finally, having experience or knowledge in basic software engineering principles will be beneficial when tackling problems related to engineering reliability and scalability for machine learning projects. This means proficiency in version control systems such as Git, debugging techniques for finding bugs in code quickly, coding conventions for writing clean code that’s easy to maintain later on etc. Understanding how software engineering works can help you move your project forward more efficiently and effectively than those who don’t have that knowledgebase.