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Syniverse logo — Syniverse Graph Machine Learning Intern in Surat, Gujarat
Syniverse VerifiedActively Hiring

Graph Machine Learning Intern

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Location

Surat, Gujarat

Work Mode

Hybrid

Duration

6 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

Syniverse is hiring a Graph Machine Learning Intern in Surat — 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 Syniverse

Syniverse offers a mentor-led Graph Machine Learning Intern in Surat with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
Surat, GujaratVerified employer10 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 Surat. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3HR discussion — stipend, start date, expectations and offer
27,000/month

Stipend · 6 months

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Openings10 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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