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ReNew logo — ReNew Computer Vision Engineer Intern in Rewa, Madhya Pradesh
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Computer Vision Engineer Intern

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Location

Rewa, Madhya Pradesh

Work Mode

In Office

Duration

4 months

Stipend

₹23,000/mo

Start Date

Immediate / Rolling

Openings

1 positions

Type

Full-time

Category

AI & Machine Learning

Apply Now — ₹23,000/moApply on Company Website ↗

About the Internship

Start your career in computer vision and visual perception with ReNew as a Computer Vision Engineer Intern in Rewa. 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 ReNew…

About ReNew

ReNew offers a mentor-led Computer Vision Engineer Intern in Rewa with live project work in ai & machine learning, a stipend of ₹23,000/month and a Pre-Placement Offer opportunity for strong performers.
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Rewa, Madhya PradeshVerified employer1 opening
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Skills Required

OpenCVConvolutional Neural Networks (CNNs)Image ProcessingYOLOEdge AI DeploymentPyTorchData Annotation & AugmentationPythonModel QuantisationCamera Calibration

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/EEE), M.Tech, MCA or M.Sc (CS / Electronics) who are based in or willing to work from Rewa. You should be keen to learn OpenCV, Convolutional Neural Networks (CNNs), Image Processing 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3HR discussion — stipend, start date, expectations and offer
23,000/month

Stipend · 4 months

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Openings1 positions
Applicants0 applied
ModeIn Office
CategoryAI & Machine Learning
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