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Voice AI & Speech Technology Intern

InternshipHybridMangaluru, Karnataka4 months27K/mo8 openingsImmediate / Rolling

About this internship

nference is hiring a Voice AI & Speech Technology Intern in Mangaluru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to speech and voice AI rather than a certificate-only programme. About the role As a Voice AI & Speech Technology Intern at…

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Skills you'll use

Speech Recognition (ASR)Text-to-Speech (TTS)PythonWhisper / Wav2VecAudio Signal ProcessingNatural Language Processing (NLP)Multilingual ModelsLatency OptimisationREST APIsEvaluation (WER)

What you'll do

  • Work on building speech-to-text and voice interfaces that work with real Indian accents alongside the core team
  • Apply Speech Recognition (ASR), Text-to-Speech (TTS), Python, Whisper / Wav2Vec to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), MCA or M.Sc (CS / Electronics)
  • Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Speech Recognition (ASR), Text-to-Speech (TTS), Python (or a genuine willingness to learn them)
  • Exposure to Whisper / Wav2Vec, Audio Signal Processing, Natural Language Processing (NLP) is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Mangaluru, Karnataka or willing to work from there for the internship period

Perks & benefits

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & selection process

4 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
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer

About nference

nference operates in the healthcare ai sector and has an active presence in Mangaluru. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The…
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