How does a dvc engineer typically collaborate with data scientists and machine learning engineers on a project?

A DVC Engineer works closely with data scientists and machine learning engineers to streamline data management, versioning, and reproducibility throughout the machine learning workflow. They help set up and maintain DVC pipelines, ensuring data and model versions are tracked across experiments. Regular communication is essential, as DVC Engineers provide support for integrating DVC into existing workflows, troubleshoot issues, and train team members on best practices. This collaborative effort helps teams maintain consistency, improve efficiency, and facilitate smoother handoffs between stages of model development.