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Amagi logo — Amagi AI for Financial Services Intern in Pimpri-Chinchwad, Maharashtra
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AI for Financial Services Intern

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Location

Pimpri-Chinchwad, Maharashtra

Work Mode

Hybrid

Duration

2 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Artificial Intelligence

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About the Internship

Join Amagi in Pimpri-Chinchwad as an AI for Financial Services Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on AI in banking and financial services work. About the role As an AI for Financial…

About Amagi

Amagi offers a mentor-led AI for Financial Services Intern in Pimpri-Chinchwad with live project work in artificial intelligence, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pimpri-Chinchwad, MaharashtraVerified employer12 openings
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Skills Required

PythonMachine LearningFraud & Anomaly DetectionCredit Risk BasicsSQLModel Explainability (SHAP)Regulatory AwarenessFeature EngineeringModel ValidationBusiness Communication

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech, MCA, M.Sc (Statistics / Data Science) or MBA (Finance / Analytics) who are based in or willing to work from Pimpri-Chinchwad. You should be keen to learn Python, Machine Learning, Fraud & Anomaly Detection 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. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
26,000/month

Stipend · 2 months

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Openings12 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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