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Computer Vision Intern

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Location

Agra, Uttar Pradesh

Work Mode

Work from Home

Duration

2 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

14 positions

Type

Full-time

Category

Machine Learning

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About the Internship

Start your career in computer vision with Kissht as a Computer Vision Intern in Agra. 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 Intern at Kissht, your core focus will be training…

About Kissht

Kissht offers a mentor-led Computer Vision Intern in Agra with live project work in machine learning, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Agra, Uttar PradeshVerified employer14 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 Agra. 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

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityBroad ownership and direct exposure to founders and senior decision-makers

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
20,000/month

Stipend · 2 months

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Openings14 positions
Applicants0 applied
ModeWork from Home
CategoryMachine Learning
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