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KPIT Technologies

Speech & Audio ML Intern

InternshipHybridNavi Mumbai, Maharashtra6 months31K/mo10 openingsImmediate / Rolling
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About this internship

KPIT Technologies is hiring a Speech & Audio ML Intern in Navi Mumbai — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to speech and audio machine learning rather than a certificate-only programme. About the role As a Speech & Audio ML Intern at KPIT…

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Skills you'll use

Speech Recognition (ASR)Audio Signal ProcessingPythonPyTorchSpectrograms & MFCCsWav2Vec / WhisperNoise RobustnessData AugmentationEvaluation (WER)Multilingual Audio

What you'll do

  • Work on training models that transcribe or classify audio recorded in noisy real conditions alongside the core team
  • Apply Speech Recognition (ASR), Audio Signal Processing, Python, PyTorch 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/ECE/EEE), M.Tech, 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), Audio Signal Processing, Python (or a genuine willingness to learn them)
  • Exposure to PyTorch, Spectrograms & MFCCs, Wav2Vec / Whisper 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 Navi Mumbai, Maharashtra 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. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer

About KPIT Technologies

KPIT Technologies operates in the automotive software sector and has an active presence in Navi Mumbai. 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…
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