Virtual Event
November 17–November 20, 2020
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Thursday, November 19 • 4:50pm - 5:25pm
MLOps at Snapchat: Continuous Machine Learning with Kubeflow & Spinnaker - Kevin Dela Rosa, Snap Inc.

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Training a machine learning model to support your use case can be difficult, but in actuality model creation is only the beginning. ML systems are complex and differ from traditional software systems; as such unique challenges arise when engineers or data scientists try to integrate and continuously operate ML systems in production. Applying best practices and principles from DevOps to machine learning systems (MLOps) can help practitioners navigate the entire ML lifecycle. In this talk, we will share our experience so far in applying MLOps to a computer vision use case at Snapchat. We will walkthrough the process of transforming a manual script driven process into a more robust and automated experience. We will describe our ML pipeline and how we leveraged Kubernetes, Kubeflow pipelines, and Spinnaker to achieve continuous integration, continuous delivery, and continuous training.

avatar for Kevin Dela Rosa

Kevin Dela Rosa

Machine Learning Engineer, Snap Inc.
Kevin Dela Rosa is a machine learning engineer on the Perception team at Snap. Alongside his colleagues, he is responsible for finding ways to apply machine learning and deep learning to create exciting products and breakthrough interactive experiences for millions of Snapchatters... Read More →

Thursday November 19, 2020 4:50pm - 5:25pm EST
Intrado Virtual Event Platform