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LendFoundry logo — LendFoundry Fraud Detection ML Intern in Thiruvananthapuram, Kerala
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Fraud Detection ML Intern

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Location

Thiruvananthapuram, Kerala

Work Mode

Hybrid

Duration

6 months

Stipend

₹28,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join LendFoundry in Thiruvananthapuram as a Fraud Detection ML Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on fraud and anomaly detection work. About the role As a Fraud Detection ML Intern at…

About LendFoundry

LendFoundry offers a mentor-led Fraud Detection ML Intern in Thiruvananthapuram with live project work in machine learning, a stipend of ₹28,000/month and a Pre-Placement Offer opportunity for strong performers.
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Thiruvananthapuram, KeralaVerified employer4 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 Thiruvananthapuram. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
28,000/month

Stipend · 6 months

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Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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