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Wockhardt logo — Wockhardt Computer Vision Engineer Intern in Gurugram, Haryana
Wockhardt VerifiedActively Hiring

Computer Vision Engineer Intern

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Location

Gurugram, Haryana

Work Mode

In Office

Duration

3 months

Stipend

₹32,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹32,000/moApply on Company Website ↗

About the Internship

Wockhardt is hiring a Computer Vision Engineer Intern in Gurugram — 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 Engineer Intern at Wockhardt, your core…

About Wockhardt

Wockhardt offers a mentor-led Computer Vision Engineer Intern in Gurugram with live project work in machine learning, a stipend of ₹32,000/month and a Pre-Placement Offer opportunity for strong performers.
Gurugram, HaryanaVerified employer3 openings
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Skills Required

Computer VisionOpenCVPyTorchObject Detection (YOLO)Image SegmentationPythonCNN ArchitecturesData AugmentationAnnotation ToolsModel Evaluation (mAP / IoU)

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/EEE/AI-ML), M.Tech, MCA or M.Sc (Computer Science) who are based in or willing to work from Gurugram. You should be keen to learn Computer Vision, 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

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
32,000/month

Stipend · 3 months

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Openings3 positions
Applicants1 applied
ModeIn Office
CategoryMachine Learning
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