AI/ML Intern

About the role

Core competencies

• Strong Python and machine learning foundations, including bias-variance, regularization, evaluation design, and judgment about when not to use ML.
• Applied experience with pandas, NumPy, scikit-learn, and at least one of PyTorch or TensorFlow.
• Knowledge of LLMs, generative AI, RAG architectures, prompt engineering, and grounding techniques.
• Experience with feature pipelines, preprocessing, and data querying using MongoDB or SQL.
• Ability to design multi-agent and tool-using workflows and connect agents to APIs, databases, and services.
• Experience with model development, feature engineering, hyperparameter search, experiment tracking, fine-tuning, and RAG optimization.
• Knowledge of evaluation harnesses, ML and LLM/RAG evaluation, pytest testing, drift monitoring, and retraining loops.
• Experience serving models with FastAPI, Docker, and AWS, plus CI/CD, versioning, registries, and production observability.

What we expect