Data Engineer - Focuses on building and optimizing the data pipeline to ensure efficient data flow for the model.

Data Scientist - Concentrates on developing and fine-tuning the machine learning model to predict customer churn.

Machine Learning Engineer - Implements the model into production, ensuring it runs efficiently and scales with the company's growth.

Professional Machine Learning Engineer - Defines how the model's predictions should be interpreted and applied to formulate strategies to reduce customer churn, ensuring the solution is scalable, cost-effective, and compliant with data privacy regulations.