Developing skills in cloud platforms such as AWS, Azure, or Google Cloud is key for ML engineers. Understanding cloud storage, compute instances, serverless architectures, and ML-specific services will empower women transitioning roles to build, deploy, and manage machine learning models on a scalable infrastructure.
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