Location
Prayagraj, Uttar Pradesh
Work Mode
Hybrid
Duration
2 months
Stipend
₹20,000/mo
Start Date
Immediate / Rolling
Openings
10 positions
Type
Full-time
Category
Machine Learning
About the Internship
IDFC FIRST Bank is hiring a NLP Engineering Intern in Prayagraj — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to natural language processing rather than a certificate-only programme.
About the role
As a NLP Engineering Intern at IDFC FIRST Bank…
About IDFC FIRST Bank
IDFC FIRST Bank offers a mentor-led NLP Engineering Intern in Prayagraj with live project work in machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
See all IDFC FIRST Bankinternships →Prayagraj, Uttar PradeshVerified employer10 openings
Apply to IDFC FIRST Bank →Skills Required
Natural Language ProcessingText ClassificationNamed Entity RecognitionHugging FaceTokenisationPythonspaCy or NLTKEmbeddingsIndic LanguagesEvaluation Metrics
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA, M.Sc (Computer Science / Statistics) or M.A. (Linguistics) with coding skills who are based in or willing to work from Prayagraj. You should be keen to learn Natural Language Processing, Text Classification, Named Entity Recognition 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 CertificateStructured onboarding and a formal mentor at a large, established employer
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3HR discussion — stipend, start date, expectations and offer
₹20,000/month
Stipend · 2 months
Openings10 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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