Hi folks, Any idea on what to expect here and how to prep for it?; This is what the recruiter sent me : This will focus on a real-world machine learning system design problem that blends methodological and engineering considerations, to include factors such as sourcing and curating data, algorithm design and selection, computational complexity considerations, operations, service efficiency, and end-user experience design.
What role?
Sounds like you’ll have to formulate problem, design ml model and deploy it to meet the latency/availability criterion.
So, like a system design interview but focused on ML systems? Any prep material?