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CloudSEK

Graph Machine Learning Intern

InternshipIn OfficeKota, Rajasthan2 months21K/mo8 openingsImmediate / Rolling

About this internship

Start your career in graph machine learning and network analysis with CloudSEK as a Graph Machine Learning Intern in Kota. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Graph Machine Learning Intern at…

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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 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 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 Kota, Rajasthan or willing to work from there for the internship period

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3HR discussion — stipend, start date, expectations and offer

About CloudSEK

CloudSEK operates in the cybersecurity sector and has an active presence in Kota. 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 distance. The work…
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