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Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Maintains and automates cloud-native infrastructure using Kubernetes, Docker, and CI/CD pipelines, deploying and troubleshooting applications across major cloud platforms.