AI / ML Engineer Intern

Learn applied machine learning by shipping it: prepare real datasets, reproduce baselines, evaluate honestly and build small LLM features under engineering review. What you will do: Prepare, clean and document datasets used in client and internal ML work. Reproduce and improve baseline models using agreed metrics and validation splits. Prototype bounded LLM features - retrieval, prompts, structured outputs - with human review. Run experiments and record assumptions, results and limitations so they can be repeated. Support engineers with evaluation suites, dashboards and documentation. What you bring: Working knowledge of Python, plus pandas or similar data tools. Foundations of machine learning: training, validation, overfitting, metrics. Basic SQL and Git habits; comfort in a terminal and notebook. Curiosity and honesty: report inconclusive results and ask questions early. Coursework, projects or research you can walk through in detail. Internship