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HyperVerge

Fraud Detection ML Intern

InternshipIn OfficePrayagraj, Uttar Pradesh4 months18K/mo12 openingsImmediate / Rolling

About this internship

HyperVerge is hiring a Fraud Detection ML Intern in Prayagraj — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to fraud and anomaly detection rather than a certificate-only programme. About the role As a Fraud Detection ML Intern at HyperVerge, your…

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Skills you'll use

Anomaly DetectionPythonImbalanced Data TechniquesFeature EngineeringScikit-LearnSQLPrecision-Recall TradeoffsRule + Model HybridsModel ExplainabilityDomain Investigation

What you'll do

  • Work on catching fraudulent behaviour without blocking legitimate customers alongside the core team
  • Apply Anomaly Detection, Python, Imbalanced Data Techniques, Feature Engineering 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, MCA, M.Sc (Statistics / Data Science) or MBA (Analytics)
  • 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 Anomaly Detection, Python, Imbalanced Data Techniques (or a genuine willingness to learn them)
  • Exposure to Feature Engineering, Scikit-Learn, SQL 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 Prayagraj, Uttar Pradesh or willing to work from there for the internship period

Perks & benefits

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

About HyperVerge

HyperVerge operates in the ai & identity verification sector and has an active presence in Prayagraj. 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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