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Julius AI

Speech & Audio ML Intern

InternshipIn OfficeHubballi, Karnataka3 months27K/mo12 openingsImmediate / Rolling

About this internship

Start your career in speech and audio machine learning with Julius AI as a Speech & Audio ML Intern in Hubballi. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Speech & Audio ML Intern at Julius AI, your…

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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 Hubballi, Karnataka or willing to work from there for the internship period

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

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 Julius AI

Julius AI operates in the ai data analytics sector and has an active presence in Hubballi. 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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