Location
Gaya, Bihar
Work Mode
Hybrid
Duration
2 months
Stipend
₹22,000/mo
Start Date
Immediate / Rolling
Openings
10 positions
Type
Full-time
Category
Machine Learning
About the Internship
National Payments Corporation of India (NPCI) is hiring a Speech AI Intern in Gaya — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to speech and audio AI rather than a certificate-only programme.
About the role
As a Speech AI Intern at National…
About National Payments Corporation of India (NPCI)
National Payments Corporation of India (NPCI) offers a mentor-led Speech AI Intern in Gaya with live project work in machine learning, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
See all National Payments Corporation of India (NPCI)internships →Gaya, BiharVerified employer10 openings
Apply to National Payments Corporation of India (NPCI) →Skills Required
PythonSpeech-to-TextWhisperAudio PreprocessingSignal ProcessingPyTorchText-to-SpeechWord Error RateLibrosaGit
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 Gaya. You should be keen to learn Python, Speech-to-Text, Whisper 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
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
- 3Team-fit / behavioural interview with the team
- 4HR discussion — stipend, start date, expectations and offer
₹22,000/month
Stipend · 2 months
Openings10 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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