AI/ML Intern

We are looking for a passionate and motivated AI/ML Intern to join our team. In this role, you will work closely with our Data Science and Engineering teams to develop, train, and deploy machine learning models that solve real-world problems. This is a hands-on opportunity to gain experience with cutting-edge technologies—including Generative AI, Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG)—and contribute to impactful projects across domains. Key Responsibilities: Assist in collecting, cleaning, and preprocessing structured and unstructured data for ML models Build and experiment with machine learning models for classification, regression, clustering, or NLP tasks Perform exploratory data analysis and visualize insights Support the deployment and evaluation of models in a production or simulated environment Collaborate with cross-functional teams including data engineers and software developers Document experiments, results, and workflows Stay updated with the latest trends and research in AI/ML, including LLMs, Generative AI, AI Agents, and retrieval-based techniques Explore the application of LLMs (e.g., GPT, Claude, LLaMA) in areas such as summarization, question answering, and content generation Contribute to prototyping and evaluation of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain or LlamaIndex Support prompt engineering, chaining, and evaluation of agent-based systems for specific business tasks. Preferred Skills & Qualifications: Pursuing a degree in Computer Science, Data Science, AI/ML, or related field Strong foundation in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch Basic understanding of GenAI API usage concepts (e.g., OpenAI, Anthropic, Hugging Face). Familiarity with LLM frameworks such as LangChain or LlamaIndex is a plus. Understanding of foundational ML concepts including supervised/unsupervised learning, embeddings, and transfer learning. Familiarity with vector databases like FAISS, Pinecone, or ChromaDB is an advantage Familiarity with SQL and data visualization tools (e.g., Matplotlib, Seaborn, Plotly) Knowledge of NLP or deep learning is a plus Excellent problem-solving and communication skills Eagerness to learn, experiment, and work independently as well as in collaborative teams