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Suzlon Energy logo — Suzlon Energy Computer Vision Engineer Intern in Kochi, Kerala
Suzlon Energy VerifiedActively Hiring

Computer Vision Engineer Intern

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Location

Kochi, Kerala

Work Mode

In Office

Duration

2 months

Stipend

₹29,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹29,000/moApply on Company Website ↗

About the Internship

Start your career in computer vision with Suzlon Energy as a Computer Vision Engineer Intern in Kochi. 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 Engineer Intern at Suzlon Energy, your…

About Suzlon Energy

Suzlon Energy offers a mentor-led Computer Vision Engineer Intern in Kochi with live project work in machine learning, a stipend of ₹29,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kochi, KeralaVerified employer7 openings
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Skills Required

Computer VisionOpenCVPyTorchObject Detection (YOLO)Image SegmentationPythonCNN ArchitecturesData AugmentationAnnotation ToolsModel Evaluation (mAP / IoU)

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/ECE/EEE/AI-ML), M.Tech, MCA or M.Sc (Computer Science) who are based in or willing to work from Kochi. You should be keen to learn Computer Vision, 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

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

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3HR discussion — stipend, start date, expectations and offer
29,000/month

Stipend · 2 months

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Openings7 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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