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Rapido logo — Rapido Computer Vision Engineer Intern in Kalaburagi, Karnataka
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Computer Vision Engineer Intern

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Location

Kalaburagi, Karnataka

Work Mode

Hybrid

Duration

6 months

Stipend

₹26,000/mo

Start Date

Immediate / Rolling

Openings

12 positions

Type

Full-time

Category

Artificial Intelligence

Apply Now — ₹26,000/moApply on Company Website ↗

About the Internship

Join Rapido in Kalaburagi 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 work. About the role As a Computer Vision Engineer Intern at Rapido, your core…

About Rapido

Rapido offers a mentor-led Computer Vision Engineer Intern in Kalaburagi with live project work in artificial intelligence, a stipend of ₹26,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kalaburagi, KarnatakaVerified employer12 openings
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Skills Required

Computer VisionOpenCVPythonPyTorch or TensorFlowCNNsImage PreprocessingObject DetectionAnnotation & DatasetsModel EvaluationDeployment Basics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) who are based in or willing to work from Kalaburagi. You should be keen to learn Computer Vision, OpenCV, Python 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 mentorDirect access to the team that owns the data you work on

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Online aptitude / domain assessment
  3. 3HR discussion — stipend, start date, expectations and offer
26,000/month

Stipend · 6 months

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Openings12 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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