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MRF

Computer Vision Engineer Intern

InternshipWork from HomeAzamgarh, Uttar Pradesh4 months21K/mo8 openingsImmediate / Rolling

About this internship

MRF has an open Computer Vision Engineer Intern position in Azamgarh for motivated freshers and final-year students. You will work on live computer vision projects and finish with something you can genuinely talk about in interviews. About the role As a Computer Vision Engineer Intern at MRF, your…

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Skills you'll use

PythonOpenCVPyTorchCNNsImage PreprocessingObject Detection (YOLO)Image SegmentationData AugmentationModel EvaluationGit

What you'll do

  • Work on teaching a model to read an image, then finding out how badly lighting and angle break it alongside the core team
  • Apply Python, OpenCV, PyTorch, CNNs to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT)
  • Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Python, OpenCV, PyTorch (or a genuine willingness to learn them)
  • Exposure to CNNs, Image Preprocessing, Object Detection (YOLO) is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Azamgarh, Uttar Pradesh or willing to work from there for the internship period

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceDirect access to the team that owns the data you work on

Interview & selection process

4 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. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer

About MRF

MRF operates in the it services sector and has an active presence in Azamgarh. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work runs…
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