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Mastercard logo — Mastercard Speech & Audio ML Intern in Kota, Rajasthan
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Speech & Audio ML Intern

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Location

Kota, Rajasthan

Work Mode

In Office

Duration

6 months

Stipend

₹17,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Mastercard has an open Speech & Audio ML Intern position in Kota 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 at…

About Mastercard

Mastercard offers a mentor-led Speech & Audio ML Intern in Kota with live project work in machine learning, a stipend of ₹17,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kota, RajasthanVerified employer14 openings
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Skills Required

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

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/EEE), M.Tech, MCA or M.Sc (CS / Electronics) who are based in or willing to work from Kota. You should be keen to learn Speech Recognition (ASR), Audio Signal Processing, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals

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
17,000/month

Stipend · 6 months

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Openings14 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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