Teamwork in a Machine Learning team involves collaboration among members with diverse skills, such as data scientists, engineers, and domain experts, to effectively design, develop, and deploy machine learning models. It encompasses sharing knowledge, coordinating tasks, and supporting each other to solve complex problems, ensuring that all aspects of a project—from data preprocessing to model evaluation—are aligned and integrated. Effective communication, leveraging individual strengths, and fostering a culture of continuous learning is essential for driving innovation and achieving project goals in the rapidly evolving field of machine learning.