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Royal Enfield logo — Royal Enfield Computer Vision Intern in Kanpur, Uttar Pradesh
Royal Enfield VerifiedActively Hiring

Computer Vision Intern

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Location

Kanpur, Uttar Pradesh

Work Mode

Hybrid

Duration

6 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

Royal Enfield is hiring a Computer Vision Intern in Kanpur — 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 Royal Enfield, your core focus will…

About Royal Enfield

Royal Enfield offers a mentor-led Computer Vision Intern in Kanpur with live project work in machine learning, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kanpur, Uttar PradeshVerified employer8 openings
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Skills Required

Computer VisionOpenCVCNNsObject Detection (YOLO)Image AugmentationPyTorch or TensorFlowPythonAnnotation & LabellingmAP & IoUModel Evaluation

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), MCA or M.Sc (Computer Science / Mathematics) who are based in or willing to work from Kanpur. You should be keen to learn Computer Vision, OpenCV, CNNs 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 workflowsStructured 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
22,000/month

Stipend · 6 months

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Openings8 positions
Applicants2 applied
ModeHybrid
CategoryMachine Learning
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