Live opening · Posted 20 hours ago

Machine Vision Developer

CogniForge Technologies · Gurugram, Haryana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 20 hours ago
CompanyCogniForge Technologies
LocationGurugram, Haryana, India (On-site)
Work modeNo
SkillsPython, C++, TensorFlow, PyTorch
SourceLinkedin
Listed20 hours ago

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About the role

Description supplied by the original job listing.

Experience: 1.5–3 Years
Location: Gurugram, Haryana (In-office Role)
Employment Type: Full-Time
About the Role
CogniForge Technologies is looking for a hands-on Machine Vision Developer with practical experience in developing and deploying industrial vision applications.
The ideal candidate should be able to take a vision project from image acquisition and algorithm development to customer deployment and troubleshooting.
Key Responsibilities
Develop industrial machine vision applications for inspection, measurement, detection and quality control.
Work with industrial cameras, lenses, lighting and image acquisition systems.
Develop vision algorithms using Python/C++ and OpenCV.
Work on:
Defect Detection
Dimensional Measurement
Pattern/Shape Matching
Object Detection & Classification
Segmentation
Presence/Absence Inspection
Counting & Sorting
OCR/OCV
Surface Inspection
Develop and deploy AI/Deep Learning-based vision solutions using YOLO, PyTorch, TensorFlow or similar frameworks.
Perform camera calibration, image preprocessing, ROI configuration and algorithm optimization.
Build solutions that are reliable, repeatable and suitable for industrial production environments.
Conduct machine trials, customer demos, site installations and commissioning.
Troubleshoot vision systems at customer sites and improve inspection accuracy and stability.
Understand customer requirements and convert them into practical vision solutions.
Work with engineering and customer teams to deliver projects end-to-end.
Prepare basic technical documentation and project reports.
Required Skills
1.5–3 years of hands-on Machine Vision / Computer Vision experience.
Strong Python and OpenCV skills.
Practical experience with industrial cameras and machine vision systems.
Good understanding of camera resolution, lens selection, working distance and lighting.
Experience developing and deploying real-world vision applications.
Experience with AI/Deep Learning for computer vision is preferred.
Experience with industrial inspection/measurement projects is highly preferred.
Ability to independently debug and improve vision applications.
Good communication skills and ability to interact directly with customers.
Willingness to travel to customer sites for trials and deployment.
Preferred Experience
HALCON / Cognex / Keyence / VisionPro or similar vision platforms.
GigE / USB3 industrial cameras.
Telecentric lenses and precision measurement.
Defect detection and surface inspection.
Automotive/manufacturing inspection applications.
deployments.
Experience handling projects from development → testing → deployment → customer acceptance.
Who We Are Looking For
We are not looking for someone with only academic/project or basic YOLO experience.
We want someone who has actually worked on industrial machine vision projects, visited customer sites, solved real-world image/lighting/accuracy issues and can take ownership of a vision application from development to deployment.

Work arrangement
No

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