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IIFL Securities logo — IIFL Securities Neural Network Intern in Bengaluru, Karnataka
IIFL Securities VerifiedActively Hiring

Neural Network Intern

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Location

Bengaluru, Karnataka

Work Mode

Hybrid

Duration

3 months

Stipend

₹29,000/mo

Start Date

Immediate / Rolling

Openings

10 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹29,000/moApply on Company Website ↗

About the Internship

Join IIFL Securities in Bengaluru as a Neural Network Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on neural network engineering work. About the role As a Neural Network Intern at IIFL Securities…

About IIFL Securities

IIFL Securities offers a mentor-led Neural Network Intern in Bengaluru with live project work in machine learning, a stipend of ₹29,000/month and a Pre-Placement Offer opportunity for strong performers.
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Bengaluru, KarnatakaVerified employer10 openings
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Skills Required

PythonPyTorchNeural ArchitecturesActivation FunctionsLoss FunctionsOptimisersBatch NormalisationHyperparameter TuningNumPyGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Bengaluru. You should be keen to learn Python, PyTorch, Neural Architectures 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 mentorStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

2 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
29,000/month

Stipend · 3 months

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Openings10 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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