Location
Port Blair, Andaman & Nicobar Islands
Work Mode
Hybrid
Duration
2 months
Stipend
₹27,000/mo
Start Date
Immediate / Rolling
Openings
1 positions
Type
Full-time
Category
AI & Machine Learning
About the Internship
Join Karza Technologies in Port Blair as a Computer Vision Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on computer vision and visual perception work.
About the role
As a Computer Vision…
About Karza Technologies
Karza Technologies offers a mentor-led Computer Vision Engineer Intern in Port Blair with live project work in ai & machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Karza Technologiesinternships →Port Blair, Andaman & Nicobar IslandsVerified employer1 opening
Apply to Karza Technologies →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 Port Blair. 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
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Team-fit / behavioural interview with the team
- 3Online aptitude / domain assessment
- 4HR discussion — stipend, start date, expectations and offer
₹27,000/month
Stipend · 2 months
Openings1 positions
Applicants0 applied
ModeHybrid
CategoryAI & Machine Learning
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