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In the context of a multinational corporation looking to leverage machine learning (ML) to enhance its customer service operations, which role is primarily responsible for identifying and translating specific business challenges into actionable ML use cases, considering constraints such as scalability, cost-effectiveness, and compliance with global data protection regulations? Choose the best option.
A
Data Scientist - Focuses on developing and optimizing ML models without direct consideration of business application.
B
Software Developer - Specializes in building and maintaining software applications, with limited focus on ML or business problem-solving.
C
Ethical AI Researcher - Concentrates on ensuring AI and ML technologies are developed and used ethically, with minimal focus on practical business applications.
D
Professional Machine Learning Engineer - Specializes in translating business challenges into ML use cases, ensuring models are scalable, cost-effective, and compliant with regulations.
E
Both A and D - Data Scientists and Professional Machine Learning Engineers collaborate closely to address business challenges with ML.