Location
Mangaluru, Karnataka
Work Mode
In Office
Duration
3 months
Stipend
₹25,000/mo
Start Date
Immediate / Rolling
Openings
12 positions
Type
Full-time
Category
Machine Learning
About the Internship
HealthifyMe has an open Indic & Multilingual NLP Intern position in Mangaluru for motivated freshers and final-year students. You will work on live Indian-language natural language processing projects and finish with something you can genuinely talk about in interviews.
About the role
As an Indic…
About HealthifyMe
HealthifyMe offers a mentor-led Indic & Multilingual NLP Intern in Mangaluru with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
See all HealthifyMeinternships →Mangaluru, KarnatakaVerified employer12 openings
Apply to HealthifyMe →Skills Required
Natural Language Processing (NLP)Indic Language ProcessingHugging Face TransformersPythonTokenisation for Indic ScriptsTransliterationDataset CurationModel Fine-TuningEvaluation MetricsMultilingual Embeddings
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA, M.Sc (CS) or M.A. (Linguistics) with technical skills who are based in or willing to work from Mangaluru. You should be keen to learn Natural Language Processing (NLP), Indic Language Processing, Hugging Face Transformers 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
- 2Technical interview on fundamentals and your projects
- 3Practical assignment or case study with a short walkthrough
- 4HR discussion — stipend, start date, expectations and offer
₹25,000/month
Stipend · 3 months
Openings12 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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