Cogniforge Technologies (CFT) is a boutique Al consulting and product firm focused on embedded intelligence, smart automation, and real-time edge computing. CFT helps organizations transform raw data into actionable decisions by integrating Al into everyday systems and workflows. CFT builds solutions for environments ranging from factory floors to connected devices, emphasizing speed, safety, and operational insight.
Its approach centers on solving concrete industrial problems with measurable impact, making it an attractive environment for engineers interested in applied Al. Team members work closely with clients to deliver reliable, performance-driven systems that operate at the edge.
Role Description
CFT is looking for a full-time, on-site Computer Vision Engineer (Industrial Machine Vision) with hands-on experience in industrial machine vision and automated visual inspection.
What you'll work on
- Surface defect detection
- AOl (Automated Optical Inspection)
- PCB inspection
- Metal component inspection
- Vision systems for manufacturing automation
- Camera,
lighting, optics, and image processing
- Developing robust OpenCV and Al-based inspection solutions
- Customer demonstrations and technical discussions
Required Skills
- Solid Python and OpenCV
- Experience with industrial vision systems
- Understanding of cameras, lenses, lighting, calibration, and image acquisition
- Experience with defect detection, measurement, segmentation, or inspection pipelines
- Familiarity with YOLO/PyTorch/TensorFlow
- Ability to troubleshoot real-world inspection challenges
—not just build models
We're looking for someone who is:
- Technically strong and practical
- Good at problem-solving
- Comfortable interacting with clients and explaining technical concepts
Self-driven and able to take ownership of projects Interested in building production-ready vision systems rather than research prototypes
Practical Industrial Experience required in:
- Industrial Automation
Machine Vision
- AOI
- Manufacturing Inspection
- Quality Inspection Systems