What roles were in the team?

The typical roles in a machine learning development team include:

• Data Engineer — responsible for data collection, storage, preparation, and creating data processing pipelines.
• ML Engineer — involved in developing, training, deploying machine learning models, optimizing, and integrating them into production.
• Data Scientist — analyzes data, builds models, conducts experiments, and interprets results.
• Project Manager / HR — manages the project, coordinates team work, and handles recruitment and development of staff.

Depending on the size and specifics of the project, roles may overlap or be supplemented, for example, with DevOps specialists, researchers (Research Scientists), analysts, etc.