Signeasy

Speech & Audio ML Intern

InternshipHybridVaranasi, Uttar Pradesh3 months23K/mo3 openingsImmediate / Rolling

About this internship

Signeasy is hiring a Speech & Audio ML Intern in Varanasi — 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 Signeasy, 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 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 Varanasi, Uttar Pradesh or willing to work from there for the internship period

Perks & benefits

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Practical assignment or case study with a short walkthrough
3HR discussion — stipend, start date, expectations and offer

About Signeasy

Signeasy operates in the workflow saas sector and has an active presence in Varanasi. 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 work…

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