About Analytics Vidhya
We aim to build the best community knowledge platform to learn, teach, apply and evaluate their data & AI skills (data science, data engineering, data analysis, machine learning, Artificial Intelligence and more).
The AVians (our community members) seamlessly learn through our high quality courses, apply these skills to solve real life industry problems and find career defining jobs through Analytics Vidhya. They also stay updated with all the significant happenings in the field of AI. The best part – these AVians contribute back to the community and move us forward in achieving our Vision.
Behind this movement is a team with a diverse background united by our passion to create a generation of Data & AI Professionals who lead the world in future.
Analytics Vidhya is looking for a Generative AI Intern to work on real life AI projects. This position requires a high level of curiosity, as well as the ability to implement the AI skills.
What should you expect?
- An opportunity to work with a team of top-tier thought leaders and engineers in the Generative AI space.
- Hands-on exposure to cutting-edge tools like RAG, OpenAI APIs, diffusion models, and more.
- A culture of curiosity, ownership, and constant learning—where interns are treated as core contributors, not side participants.
Who can fill in the shoes?
This internship is ideal for:
- Final-year students or recent graduates in Computer Science, AI/ML, Data Science, or related fields.
- Learners with basic to intermediate understanding or hands-on experience in:
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- LLM Finetuning
- OpenAI APIs
- Guardrails AI
- Diffusion Models
- Individuals excited about building with GenAI and experimenting with real-world applications.
- Strong problem-solving and communication skills, with a proactive and self-driven mindset.
What is the role?
As a Generative AI Intern, you will:
- Assist in the development of GenAI-based tools and demos using LLMs and multimodal models.
- Implement and test techniques like RAG, LLM finetuning, and prompt engineering on real use cases.
- Work with mentors to explore the use of Guardrails AI for building safe and responsible GenAI applications.
- Contribute to internal projects, documentation, and blogs that share learnings with the wider AI community.
- Gain exposure to advanced concepts like diffusion models in generative media and content generation.
