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Ditto Insurance logo — Ditto Insurance Computer Vision Intern in Hyderabad, Telangana
Ditto Insurance VerifiedActively Hiring

Computer Vision Intern

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Location

Hyderabad, Telangana

Work Mode

Hybrid

Duration

2 months

Stipend

₹19,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹19,000/moApply on Company Website ↗

About the Internship

Join Ditto Insurance in Hyderabad as a Computer Vision 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 work. About the role As a Computer Vision Intern at Ditto Insurance, your core…

About Ditto Insurance

Ditto Insurance offers a mentor-led Computer Vision Intern in Hyderabad with live project work in machine learning, a stipend of ₹19,000/month and a Pre-Placement Offer opportunity for strong performers.
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Hyderabad, TelanganaVerified employer3 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 Hyderabad. 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorBroad ownership and direct exposure to founders and senior decision-makers

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
19,000/month

Stipend · 2 months

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Openings3 positions
Applicants2 applied
ModeHybrid
CategoryMachine Learning
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