AI/ML Research Intern

5 days ago


India VegaH Full time

Vegah LLC Location: Remote Vegah LLC is seeking exceptionally driven AI/ML Research Interns to work on multimodal models and agentic applications . This role is designed for individuals who thrive in fast-moving environments, stay ahead of AI advancements, and can deliver real value with minimal guidance . Do not be in a rush or impulsive to apply without understanding the JD, failure of which will only lead to rejection of your submission. Build, fine-tune, and evaluate multimodal LLMs (text, image, video, audio). Design autonomous AI agents & workflows using LangChain, AutoGen, CrewAI, LlamaIndex, Haystack, etc. Implement retrieval-augmented generation (RAG) pipelines with vector databases (Pinecone, Weaviate, FAISS). Develop and deploy production-grade APIs (Flask/FastAPI, Docker, GitHub Actions, CI/CD). Conduct independent research on cutting-edge models, frameworks, and tools — then apply findings to real-world use cases. Strong foundations in Deep Learning & ML (CNN, RNN, LSTM, Transformers, Attention). Excellent Python skills (NumPy, Pandas, PySpark). Experience with APIs, Flask/FastAPI, Docker, GitHub Actions . Familiarity with cloud (AWS/GCP/Azure) is a plus. Self-motivated, independent researcher who thrives on solving problems without step-by-step guidance. Ability to work US CST hours and be available for ad-hoc meetings . Work on cutting-edge AI projects in multimodality & agent-driven systems. Mentorship from AI practitioners solving real-world challenges. Flexible but CST-aligned hours . Conversion to paid role / full-time opportunity for outstanding contributors. Cover letter highlighting your independent research, agentic/multimodal work, and motivation Any hackathon results, certifications, or research outcomes #Important: This role is only for candidates who are passionate about building value for the company and pushing AI boundaries — not those seeking a line item on their CV. #



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