Russell Brooks, Principal Machine Learning Engineer at Realtor.com, joins Hugo Bowne-Anderson to discuss what it takes to build an enterprise ML platform from scratch. Russell shares his experiences at OpCity and Realtor.com, where he successfully scaled their ML operations from a small team to reproducible, automated ML systems. Learn the key questions to ask when building an ML platform, how to demonstrate the impact of ML within an organization, and the best practices for collaboration between software engineers, data scientists, platform engineers, and ML engineers.
In this episode Russell goes over:
- Practical insights into building an enterprise ML platform from the ground up
- How to demonstrate the impact of ML functions in an organization
- Effective collaboration strategies across engineering and ML roles
This episode was recorded as a fireside chat on 11/17/2022.
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