AI Intern

Batch: 2025/2026/2027. Requirements: - Strong programming knowledge in Python - Familiarity with NumPy, Pandas, Scikit-learn, Matplotlib, and related ML libraries - Understanding of machine learning fundamentals - Knowledge of supervised and unsupervised learning algorithms - Understanding of statistics, probability, and basic linear algebra - Experience with data preprocessing, feature engineering, and model evaluation - Basic knowledge of SQL and databases - Strong analytical and problem-solving skills - Good communication and ability to work collaboratively Preferred Skills: - Experience with Generative AI and Large Language Models (LLMs) - Familiarity with OpenAI APIs, LangChain, RAG, embeddings, and vector databases - Knowledge of NLP, deep learning, or computer vision - Experience with TensorFlow or PyTorch - Familiarity with AI/ML deployment and MLOps concepts - Knowledge of cloud platforms such as AWS, Azure, or GCP - Experience with Git/GitHub and Docker - Academic, personal, or internship projects demonstrating practical AI/ML experience Good Projects to Highlight: - RAG-based AI chatbot - LLM-powered document/question-answering system - Predictive ML model - NLP sentiment/classification project - Computer vision application - AI automation or recommendation system