Location
Thiruvananthapuram, Kerala
Work Mode
Hybrid
Duration
2 months
Stipend
₹23,000/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Machine Learning
About the Internship
Syniverse is hiring an Indic & Multilingual NLP Intern in Thiruvananthapuram — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to Indian-language natural language processing rather than a certificate-only programme.
About the role
As an Indic &…
About Syniverse
Syniverse offers a mentor-led Indic & Multilingual NLP Intern in Thiruvananthapuram with live project work in machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
Thiruvananthapuram, KeralaVerified employer4 openings
Apply to Syniverse →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 Thiruvananthapuram. 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
Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate
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
₹23,000/month
Stipend · 2 months
Openings4 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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