About the Internship
Selected intern's day-to-day responsibilities include:1. Design, develop, and deploy scalable machine learning solutions, with a primary focus on LLMs.
2. Build modular, reusable, and production-grade Python codebases.
3. Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases for efficient information retrieval.
4. Work with relational (Postgres, MySQL) and non-relational (MongoDB) databases.
5. Extract and process data (text/images) from PDFs using open-source Python libraries.
6. Evaluate and integrate open-source and licensed LLMs into production workflows.
7. Fine-tune open-source LLMs for domain-specific use cases.
8. Configure and optimize hardware infrastructure for on-premises LLM deployment.
9. Stay abreast of industry developments in LLM technologies and contribute to solution innovation.
Number of Openings
4 openingsPerks of this Internship
Certificate Recommendation letter Flexible work hours 5 days a week
Other Requirements
1. are available for full time (in-office) internship
2. have relevant skills and interests
3. can start the internship between 30th Sep'25 and 4th Nov'25
4. are available for duration of 6 months
5. have already graduated or are currently in any year of study
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