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Rovia logo — Rovia Computer Vision Intern in Mysuru, Karnataka
Rovia VerifiedActively Hiring

Computer Vision Intern

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Location

Mysuru, Karnataka

Work Mode

Hybrid

Duration

3 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹26,000/moApply on Company Website ↗

About the Internship

Rovia is hiring a Computer Vision Intern in Mysuru — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to computer vision rather than a certificate-only programme. About the role As a Computer Vision Intern at Rovia, your core focus will be making a…

About Rovia

Rovia offers a mentor-led Computer Vision Intern in Mysuru with live project work in machine learning, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Mysuru, KarnatakaVerified employer11 openings
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Skills Required

PythonOpenCVPyTorchCNN ArchitecturesImage AnnotationData AugmentationModel EvaluationNumPyGitEdge Deployment Basics

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 Mysuru. You should be keen to learn Python, OpenCV, 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

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
26,000/month

Stipend · 3 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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