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Classplus

Graph Machine Learning Intern

InternshipHybridPimpri-Chinchwad, Maharashtra2 months17K/mo8 openingsImmediate / Rolling

About this internship

Join Classplus in Pimpri-Chinchwad as a Graph Machine Learning Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on graph machine learning and network analysis work. About the role As a Graph Machine…

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Skills you'll use

Graph Neural NetworksNetworkX / PyTorch GeometricPythonGraph Databases (Neo4j)Node & Edge FeaturesLink PredictionCommunity DetectionSQLData ModellingVisualisation

What you'll do

  • Work on modelling relationships between entities to find patterns tables cannot show alongside the core team
  • Apply Graph Neural Networks, NetworkX / PyTorch Geometric, Python, Graph Databases (Neo4j) 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), M.Tech, MCA or M.Sc (CS / Mathematics)
  • Graduating batch 2026, 2027 or 2028 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Graph Neural Networks, NetworkX / PyTorch Geometric, Python (or a genuine willingness to learn them)
  • Exposure to Graph Databases (Neo4j), Node & Edge Features, Link Prediction 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 Pimpri-Chinchwad, Maharashtra or willing to work from there for the internship period

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects

About Classplus

Classplus operates in the creator edtech saas sector and has an active presence in Pimpri-Chinchwad. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…
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