#MachineLearning #DataScience #RealTimeML Richmond Alake (@richmond_a) a Machine Learning Architect at Slalom Build, sits down with @JonKrohnLearns to share real-time ML insights, tools and career experiences for a high-energy and high-impact episode. From his work at Slalom Build to his two AI startups, discover the software choices, ML tools, and front-end development techniques used by a leader in the field. This episode is brought to you by Posit, the open-source data science company (https://posit.co), by AWS Inferentia (https://go.aws/3zWS0au), and by WithFeeling.ai, the company bringing humanity into AI (https://withfeeling.ai). Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • [00:00:00] Introduction • [00:03:09] What is a Machine Learning Architect? • [00:12:07] Richmond's startups • [00:29:51] Why Richmond started a podcast • [00:38:05] Richmond's new course on feature stores • [00:43:25] Why Richmond produces data science content • [00:51:30] Why All Data Scientists Should Write Additional materials: https://www.superdatascience.com/685