Google Professional Machine Learning Engineer
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In the context of a multinational corporation aiming to leverage machine learning (ML) to enhance its customer service operations, which role is most critical for ensuring that the ML projects not only align with the company's strategic objectives of improving customer satisfaction and operational efficiency but also address the actual business challenges of scaling personalized customer interactions across different regions? Choose the best option.
A
AI Ethicist, who ensures the ethical use of AI in customer interactions but does not directly contribute to aligning ML projects with business goals.
B
Database Administrator, responsible for managing and optimizing the data infrastructure necessary for ML projects but not involved in translating business challenges into ML use cases.
C
Professional Machine Learning Engineer, specializing in translating business challenges into ML use cases, ensuring that ML initiatives are technically feasible and aligned with the company's strategic goals of enhancing customer service.
D
Data Scientist, who develops and optimizes ML models but primarily focuses on the technical aspects rather than aligning ML projects with overarching business objectives.