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"Real-Time" ML: Features and Inference // Sasha Ovsankin and Rupesh Gupta // MLOps Podcast #135

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Machine Learning Engineers - I Love Machine Learning

There are many people who contribute to the system so there are many hands in this in this pot and how do we make it all work well. So, one little example that we were working on, on the real-time features, like a streaming process for real- time features. And, our streaming team came up with this idea of managed service. There's, the building managed service, so that machine learning engineers can run their feature pipelines very, very easily. It is managed by, by, by an infotime in the backend. This kind of separation is, is very important. I love machine learning because, when you start working on it, it gets you out of a

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