Vector Database Intern

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Skills you'll use

What you'll do

• Work on storing and searching embeddings at scale, and trading recall against latency deliberately rather than by accident alongside the core team
• Apply Vector Databases, Embeddings, Similarity Search, Pinecone or FAISS to live, production-facing problems
• Document your work clearly for reviewers and stakeholders
• Participate in reviews and act on the feedback you receive
• Collaborate across engineering, product, design or business as required
• Follow the team's quality, testing and documentation standards

Who can apply

• Pursuing or recently completed B.E./B.Tech (CSE/IT), BCA/MCA or B.Sc/M.Sc (Computer Science)
• Graduating batch 2026 or 2027 — final-year students and recent graduates welcome
• 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
• Working knowledge of Vector Databases, Embeddings, Similarity Search (or a genuine willingness to learn them)
• Exposure to Pinecone or FAISS, Indexing (HNSW), Python is an advantage
• Clear written and verbal communication in English, and care with detail in your work
• No prior work experience required — this is a fresher-friendly internship
• Based in Gwalior, Madhya Pradesh or willing to work from there for the internship period

Perks & benefits

Interview & selection process

3 rounds — typical selection flow for this role:

1. 1Application screening & resume shortlisting by the talent team
2. 2Online aptitude / domain assessment
3. 3HR discussion — stipend, start date, expectations and offer

About Grant Thornton Bharat

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