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Oben Electric logo — Oben Electric Computer Vision Intern in Sambalpur, Odisha
Oben Electric VerifiedActively Hiring

Computer Vision Intern

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Location

Sambalpur, Odisha

Work Mode

Hybrid

Duration

3 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

Join Oben Electric in Sambalpur 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 Oben Electric, your core…

About Oben Electric

Oben Electric offers a mentor-led Computer Vision Intern in Sambalpur with live project work in machine learning, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
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Sambalpur, OdishaVerified employer9 openings
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Skills Required

PythonOpenCVPyTorchCNNsImage PreprocessingObject Detection (YOLO)Image SegmentationData AugmentationModel EvaluationGit

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 Sambalpur. You should be keen to learn Python, OpenCV, PyTorch 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

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursDirect 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. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
27,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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