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HyperVerge logo — HyperVerge Fraud Detection ML Intern in Prayagraj, Uttar Pradesh
HyperVerge VerifiedActively Hiring

Fraud Detection ML Intern

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Location

Prayagraj, Uttar Pradesh

Work Mode

In Office

Duration

4 months

Stipend

₹18,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Machine Learning

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About the 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…

About HyperVerge

HyperVerge offers a mentor-led Fraud Detection ML Intern in Prayagraj with live project work in machine learning, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
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Prayagraj, Uttar PradeshVerified employer12 openings
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Skills Required

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

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, MCA, M.Sc (Statistics / Data Science) or MBA (Analytics) who are based in or willing to work from Prayagraj. You should be keen to learn Anomaly Detection, Python, Imbalanced Data Techniques 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
18,000/month

Stipend · 4 months

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Openings12 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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