Gnani.ai

Computer Vision Intern

InternshipIn OfficeHyderabad, Telangana2 months35K/mo1 openingImmediate / Rolling

About this internship

Start your career in computer vision with Gnani.ai as a Computer Vision Intern in Hyderabad. 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 Gnani.ai, your core focus will be…

Skills you'll use

PythonComputer VisionOpenCVPyTorchCNNsObject DetectionImage SegmentationData AugmentationModel OptimisationNumPy

What you'll do

Work on building image and video models for detection and recognition alongside the core team
Apply Python, Computer Vision, OpenCV, PyTorch 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/M.Tech/M.Sc (CS, Electronics) — 2026 freshers & final-year students welcome
Working knowledge of Python, Computer Vision, OpenCV (or a genuine willingness to learn them)
Strong fundamentals in your discipline and clear problem-solving ability
Care with detail and the discipline to document your work
Clear written and verbal communication in English
Based in or willing to work from Hyderabad, Telangana

Perks & benefits

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

Interview & selection process

3 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Discussion with the hiring manager on the role and your fit
3HR discussion — stipend, start date, expectations and offer

About Gnani.ai

Gnani.ai operates in the artificial intelligence sector and has an active presence in Hyderabad. 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…

Visit Gnani.ai’s official website ↗

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