Implements, tests, and debugs ML pipelines, models, or components as scoped by mentors. Applies software engineering practices (version control, testing, CI/CD) to ML code and data workflows. Collaborates with machine learning engineers, applied scientists, and software engineers to integrate ML models into products or services. Explores tools and frameworks commonly used in ML engineering (e.g., PyTorch, scikit-learn, data processing frameworks). Communicates progress, blockers, and learnings effectively with mentors and teammates.