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Glance logo — Glance AI Computer Vision Research Intern in Dimapur, Nagaland
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AI Computer Vision Research Intern

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Location

Dimapur, Nagaland

Work Mode

In Office

Duration

3 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Glance in Dimapur as an AI Computer Vision Research Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on computer vision research work. About the role As an AI Computer Vision Research Intern at…

About Glance

Glance offers a mentor-led AI Computer Vision Research Intern in Dimapur with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Dimapur, NagalandVerified employer12 openings
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Skills Required

PythonPyTorchOpenCVCNN ArchitecturesResearch PapersDataset CurationEvaluation MetricsImage AugmentationTechnical WritingGit

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Dimapur. You should be keen to learn Python, PyTorch, OpenCV 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursDirect access to the team that owns the data you work on

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3Technical interview on fundamentals and your projects
  4. 4HR discussion — stipend, start date, expectations and offer
19,000/month

Stipend · 3 months

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Openings12 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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