AI/ML Intern

Build and fine-tune LLM-based interview evaluation models and NLP pipelines. Work with real proctoring data and integrate AI models into production-ready APIs. Explore RAG systems, embeddings and vector databases while solving practical AI challenges. Strong Python skills and familiarity with ML frameworks such as PyTorch, TensorFlow or Hugging Face are preferred. Students from BTech, MCA or MTech backgrounds can apply.