Disha shares insights into the diverse roles within her team, highlighting the blend of data engineering, software engineering, and data science necessary for creating a robust ML ecosystem. She contrasts her team's focus on democratizing machine learning through reusable libraries and workflows with another team's emphasis on supporting traditional data scientists, emphasizing the importance of quick insights over bespoke model building.
