AI/ML Intern, Unpaid

About the Role

• Internship opportunity at venture launcher.
• Remote work mode.
• Unpaid compensation.

Key Responsibilities

• Build practical AI applications using LLMs, RAG, and semantic matching.

Requirements & Tech Stack

• Strong proficiency in Python for data processing, machine learning, and API integrations.
• Basic SQL knowledge.
• Hands-on experience with pandas, NumPy, and traditional machine learning using scikit-learn.
• Practical experience using LLM APIs (e.g., OpenAI, Anthropic, open-source models) with structured JSON outputs and tool calling.
• Comfortable using Git and GitHub for collaborative development.
• Demonstrated project experience in the following areas:
• RAG pipelines using LangChain or LlamaIndex.
• Embedding generation using Hugging Face or OpenAI.
• Vector search using ChromaDB, FAISS, Qdrant, or Pinecone.
• Semantic and schema matching using Sentence-Transformers and string-matching libraries such as FuzzyWuzzy or TheFuzz.

Bonus Skills

• Agentic workflows using LangGraph, CrewAI, or AutoGen.
• Backend API development using FastAPI.
• Basic containerization using Docker.

To Apply

• Send a DM with your resume, GitHub profile, and relevant project links.
• Briefly explain your contribution to one AI/ML project and the technologies you used.