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The MLOps Podcast
⛹️♂️ Large Scale Video ML at WSC Sports with Yuval Gabay
Aug 7, 2023
Yuval Gabay, MLOps Engineer at WSC Sports, discusses MLOps methodologies, standardizing deployment, and closing the loop from production to training. They also explore implementing WCS Sports in NBA games, tips for starting in MLOps, managing machine learning with GitOps, and taking ML models into production.
01:02:09
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Quick takeaways
- Understanding the unique challenges of deploying and managing machine learning models is crucial for MLOps engineers.
- Implementing GitOps using tools like Argo CD, Helm, and Customize can help manage the complexity of Kubernetes deployments.
Deep dives
Yvall's Journey into MLOps
Yvall discusses his transition from a DevOps engineer to an MLOps engineer at WSC Sports. He shares how his interest in machine learning sparked and led to the creation of the first MLOps engineer role. Yvall explains his role in building the MLOps infrastructure at WSC Sports and highlights the importance of understanding the unique challenges of deploying and managing machine learning models.
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Discover
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