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Deploy, monitor and maintain machine learning models in production Build and manage ML pipelines for training, testing and model deployment Automate CI/CD workflows and ML infrastructure using DevOps practices Monitor model performance, data quality, scalability and system reliability Collaborate with data scientists, software engineers and cloud teams