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Happiest Minds Technologies logo — Happiest Minds Technologies AI Computer Vision Research Intern in Pune, Maharashtra
Happiest Minds Technologies VerifiedActively Hiring

AI Computer Vision Research Intern

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Location

Pune, Maharashtra

Work Mode

In Office

Duration

6 months

Stipend

₹29,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Join Happiest Minds Technologies in Pune 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…

About Happiest Minds Technologies

Happiest Minds Technologies offers a mentor-led AI Computer Vision Research Intern in Pune with live project work in machine learning, a stipend of ₹29,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer15 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 Pune. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
29,000/month

Stipend · 6 months

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Openings15 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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