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Classplus

Speech & Audio ML Intern

InternshipIn OfficeAhmedabad, Gujarat3 months22K/mo4 openingsImmediate / Rolling

About this internship

Classplus has an open Speech & Audio ML Intern position in Ahmedabad for motivated freshers and final-year students. You will work on live speech and audio machine learning projects and finish with something you can genuinely talk about in interviews. About the role As a Speech & Audio ML Intern…

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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 Ahmedabad, Gujarat or willing to work from there for the internship period

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & selection process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer

About Classplus

Classplus operates in the creator edtech saas sector and has an active presence in Ahmedabad. 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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