DataHour: Cracking the Code- A Hands-On Approach to ML Job Success

This session will give you an overview of why there are so many types of machine learning roles, such as machine learning engineer, applied scientist, and more. - How to acquire the skill sets required for each type of machine learning role; ML skills matrix - How to assess your interests and your current skills before deciding which machine learning role(s) to apply for; checklist self-evaluation - How to evaluate your current skills to close any gaps that may prevent you from succeeding in the interview process: curated list of resources to get started.

Susan Shu Chang is a principal data scientist at Elastic, which powers search around the world. She is the author of Machine Learning Interviews, published by O'Reilly. Previously, she built machine learning at scale in the fintech, social, and telecom industries. She is the founder of Quill Game Studios, growing the company to 10+ developers and shipping 2 commercial releases on PC and consoles. The studio is currently developing the game “Autumn with the Shiba Inu”. She’s a five-time speaker at PyCons around the world and keynote speaker at the O’Reilly MLOps Superstream. You can find her machine learning career guides at Susanshu.com.