Location
Thane, Maharashtra
Work Mode
In Office
Duration
3 months
Stipend
₹25,000/mo
Start Date
Immediate / Rolling
Openings
6 positions
Type
Full-time
Category
Machine Learning
About the Internship
Start your career in Indian-language natural language processing with Clear (ClearTax) as an Indic & Multilingual NLP Intern in Thane. 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 an Indic & Multilingual…
About Clear (ClearTax)
Clear (ClearTax) offers a mentor-led Indic & Multilingual NLP Intern in Thane with live project work in machine learning, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Clear (ClearTax)internships →Thane, MaharashtraVerified employer6 openings
Apply to Clear (ClearTax) →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 Thane. 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
Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Technical interview on fundamentals and your projects
- 3HR discussion — stipend, start date, expectations and offer
₹25,000/month
Stipend · 3 months
Openings6 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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