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Popular AI intern role in Bengaluru but strict pedigree and GitHub requirements moderate applicant density.
Highly domain-specific AI/ML skills and academic pedigree reduce cross-industry transferability.
Mandatory top-tier institute, public GitHub, project achievements, and internship preference create very strict filters.
Support the design, development, and deployment of AI models and applications under senior engineers' guidance.
Assist in data collection, preprocessing, analysis, and documentation for AI projects.
Contribute to code reviews and help integrate AI solutions into products.
Currently pursuing a degree in CS, IT, Computer Engineering, AI-ML, or AI-DS from a specified top-tier Indian institution or exceptional candidates from non-computing backgrounds from top institutes.
Demonstrable proof of work through open-source contributions (e.g., GSoC, Outreachy), published packages, or user-facing projects.
Public GitHub profile with readable repositories is mandatory for shortlisting.
Proficiency in at least one programming language (e.g., Python) and basic familiarity with AI/ML frameworks (TensorFlow, PyTorch) is expected. Work Experience Required: Prior internships preferred but not strictly mandatory.
Strong academic credentials indicated by JEE/GATE rank, olympiad achievements, coding competition ratings (ICPC, Codeforces), Kaggle standing, or CGPA 9+ with preference to department toppers.
Candidates with prior internship experience at research labs, product companies, or funded startups are likely to succeed.
Basic familiarity or hands-on experience with large language model techniques (agents, RAG, evals, fine-tuning) is advantageous though not mandatory for interns.