AI/ML engineers use cloud platforms like AWS, Microsoft Azure, and Google Cloud AI to deploy models at scale. These platforms provide infrastructure for handling real-time data, user interactions, and auto-scaling. For example, deploying a fraud detection model on AWS SageMaker for production use.
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