ML engineers must be aware of securing models and data in production. Learning about encryption, data privacy laws (GDPR, CCPA), and methods to protect against adversarial attacks is important. Additionally, focusing on ethical AI principles ensures models are fair, unbiased, and transparent, which is increasingly vital in ML engineering roles.
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