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Ecom Express logo — Ecom Express NLP Engineering Intern in Pimpri-Chinchwad, Maharashtra
Ecom Express VerifiedActively Hiring

NLP Engineering Intern

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Location

Pimpri-Chinchwad, Maharashtra

Work Mode

Hybrid

Duration

3 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Ecom Express is hiring a NLP Engineering Intern in Pimpri-Chinchwad — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to natural language processing rather than a certificate-only programme. About the role As a NLP Engineering Intern at Ecom Express…

About Ecom Express

Ecom Express offers a mentor-led NLP Engineering Intern in Pimpri-Chinchwad with live project work in machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pimpri-Chinchwad, MaharashtraVerified employer8 openings
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Skills Required

PythonHugging Face TransformersPyTorchTokenisationText ClassificationNamed Entity RecognitionEmbeddingsModel EvaluationPandasGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), B.Sc/M.Sc (Statistics, Mathematics, Economics), BCA/MCA or MBA who are based in or willing to work from Pimpri-Chinchwad. You should be keen to learn Python, Hugging Face Transformers, PyTorch 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

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
23,000/month

Stipend · 3 months

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Openings8 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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