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Poshmark India logo — Poshmark India Computer Vision Intern in Siliguri, West Bengal
Poshmark India VerifiedActively Hiring

Computer Vision Intern

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Location

Siliguri, West Bengal

Work Mode

Hybrid

Duration

3 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

Category

AI & Machine Learning

Apply Now — ₹20,000/moApply on Company Website ↗

About the Internship

Poshmark India is hiring a Computer Vision Intern in Siliguri — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to applied AI and machine learning rather than a certificate-only programme. About the role As a Computer Vision Intern at Poshmark India…

About Poshmark India

Poshmark India offers a mentor-led Computer Vision Intern in Siliguri with live project work in ai & machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Siliguri, West BengalVerified employer2 openings
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Skills Required

OpenCVPythonDeep LearningImage ProcessingPyTorchDataset AnnotationModel EvaluationNumPyGitCUDA Basics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech/M.Tech/MCA/M.Sc (CS, Statistics, Maths) who are based in or willing to work from Siliguri. You should be keen to learn OpenCV, Python, Deep Learning 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
20,000/month

Stipend · 3 months

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Openings2 positions
Applicants1 applied
ModeHybrid
CategoryAI & Machine Learning
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