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OMRON India logo — OMRON India Computer Vision Engineer Intern in Shillong, Meghalaya
OMRON India VerifiedActively Hiring

Computer Vision Engineer Intern

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Location

Shillong, Meghalaya

Work Mode

In Office

Duration

4 months

Stipend

₹29,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹29,000/moApply on Company Website ↗

About the Internship

Start your career in computer vision with OMRON India as a Computer Vision Engineer Intern in Shillong. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Computer Vision Engineer Intern at OMRON India, your…

About OMRON India

OMRON India offers a mentor-led Computer Vision Engineer Intern in Shillong 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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Shillong, MeghalayaVerified employer12 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 Shillong. 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & Selection Process

3 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. 3HR discussion — stipend, start date, expectations and offer
29,000/month

Stipend · 4 months

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Openings12 positions
Applicants1 applied
ModeIn Office
CategoryMachine Learning
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