Location
Indore, Madhya Pradesh
Work Mode
In Office
Duration
6 months
Stipend
₹16,000/mo
Start Date
Immediate / Rolling
Openings
14 positions
Type
Full-time
Category
Machine Learning
About the Internship
Hitachi Payment Services has an open Speech & Audio ML Intern position in Indore 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…
About Hitachi Payment Services
Hitachi Payment Services offers a mentor-led Speech & Audio ML Intern in Indore with live project work in machine learning, a stipend of ₹16,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Hitachi Payment Servicesinternships →Indore, Madhya PradeshVerified employer14 openings
Apply to Hitachi Payment Services →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 Indore. 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
Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹16,000/month
Stipend · 6 months
Openings14 positions
Applicants1 applied
ModeIn Office
CategoryMachine Learning
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