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

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Location

Thiruvananthapuram, Kerala

Work Mode

In Office

Duration

6 months

Stipend

₹16,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹16,000/moApply on Company Website ↗

About the Internship

SingleStore is hiring a Fraud Detection ML Intern in Thiruvananthapuram — 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…

About SingleStore

SingleStore offers a mentor-led Fraud Detection ML Intern in Thiruvananthapuram with live project work in machine learning, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
Thiruvananthapuram, KeralaVerified employer9 openings
Apply to SingleStore

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

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

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
16,000/month

Stipend · 6 months

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Openings9 positions
Applicants16 applied
ModeIn Office
CategoryMachine Learning
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