AI/ML Intern

The internship focuses on AI and machine learning initiatives including model training, fine-tuning, benchmarking, evaluation, and RAG workflow development. Candidates should have strong Python skills, experience with PyTorch, scikit-learn, or Hugging Face, and an understanding of ML fundamentals and evaluation metrics. Preferred skills include vector databases, embeddings, LangChain-style orchestration, SQL, Docker, Jupyter, FastAPI, and deployed AI demos. Applicants with GitHub portfolios, research projects, Kaggle experience, or open-source contributions will stand out. The role offers deep exposure to applied AI, experimentation, and modern LLM-based product development.