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5nance logo — 5nance Graph Machine Learning Intern in Gurugram, Haryana
5nance VerifiedActively Hiring

Graph Machine Learning Intern

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Location

Gurugram, Haryana

Work Mode

In Office

Duration

6 months

Stipend

₹38,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Machine Learning

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About the Internship

5nance is hiring a Graph Machine Learning Intern in Gurugram — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to graph machine learning and network analysis rather than a certificate-only programme. About the role As a Graph Machine Learning Intern at…

About 5nance

5nance offers a mentor-led Graph Machine Learning Intern in Gurugram with live project work in machine learning, a stipend of ₹38,000/month and a Pre-Placement Offer opportunity for strong performers.
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Gurugram, HaryanaVerified employer11 openings
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Skills Required

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

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), M.Tech, MCA or M.Sc (CS / Mathematics) who are based in or willing to work from Gurugram. You should be keen to learn Graph Neural Networks, NetworkX / PyTorch Geometric, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3Online aptitude / domain assessment
  4. 4HR discussion — stipend, start date, expectations and offer
38,000/month

Stipend · 6 months

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Openings11 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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