Location
Jamnagar, Gujarat
Work Mode
Hybrid
Duration
3 months
Stipend
₹24,000/mo
Start Date
Immediate / Rolling
Openings
5 positions
Type
Full-time
Category
Machine Learning
About the Internship
Join Johnson Controls Technology Centre in Jamnagar 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…
About Johnson Controls Technology Centre
Johnson Controls Technology Centre offers a mentor-led Computer Vision Engineer Intern in Jamnagar with live project work in machine learning, a stipend of ₹24,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Johnson Controls Technology Centreinternships →Jamnagar, GujaratVerified employer5 openings
Apply to Johnson Controls Technology Centre →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 Jamnagar. 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
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹24,000/month
Stipend · 3 months
Openings5 positions
Applicants0 applied
ModeHybrid
CategoryMachine Learning
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