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Citi India logo — Citi India Speech & Audio ML Intern in Tirupati, Andhra Pradesh
Citi India VerifiedActively Hiring

Speech & Audio ML Intern

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Location

Tirupati, Andhra Pradesh

Work Mode

In Office

Duration

3 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

Start your career in speech and audio machine learning with Citi India as a Speech & Audio ML Intern in Tirupati. 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 Citi India, your…

About Citi India

Citi India offers a mentor-led Speech & Audio ML Intern in Tirupati with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Tirupati, Andhra PradeshVerified employer9 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 Tirupati. 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

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

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
25,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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