Location
Mumbai, Maharashtra
Work Mode
In Office
Duration
6 months
Stipend
₹20,000/mo
Start Date
Immediate / Rolling
Openings
5 positions
Type
Full-time
Category
Machine Learning
About the Internship
Cummins India has an open NLP Engineer Intern position in Mumbai for motivated freshers and final-year students. You will work on live natural language processing projects and finish with something you can genuinely talk about in interviews.
About the role
As a NLP Engineer Intern at Cummins…
About Cummins India
Cummins India offers a mentor-led NLP Engineer Intern in Mumbai with live project work in machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Cummins Indiainternships →Mumbai, MaharashtraVerified employer5 openings
Apply to Cummins India →Skills Required
Natural Language Processing (NLP)Hugging Face TransformersPythonText Preprocessing & TokenisationNamed Entity RecognitionText ClassificationspaCy / NLTKEmbeddingsModel Evaluation (F1)Multilingual Text
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), MCA, M.Sc (CS / Linguistics) or M.Tech who are based in or willing to work from Mumbai. You should be keen to learn Natural Language Processing (NLP), Hugging Face Transformers, 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
Live project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionals
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
₹20,000/month
Stipend · 6 months
Openings5 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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