About the Role

Key Responsibilities

Develop and deploy computer vision and AI-based inspection solutions.

Train, evaluate, and optimize deep learning models for production environments.

Troubleshoot and optimize vision systems deployed at customer sites.

Collaborate with cross-functional teams to understand requirements and deliver solutions.

Required Skills:
Strong programming skills in Python.

Hands-on experience with OpenCV and image processing techniques.

Experience with deep learning frameworks such as PyTorch or TensorFlow.

Knowledge of object detection modules.

Understanding of industrial cameras, lighting, optics, and triggering mechanisms.

Familiarity with PLC communication and industrial automation concepts.

Experience with Git, APIs, and database fundamentals.

Preferred Experience





Industrial vision inspection systems

OCR and code verification systems

Conveyor-based vision systems

PCB inspection and manufacturing automation projects

Real-time video analytics and surveillance solutions

B.Tech/M.Tech in Computer Science, Electronics, AI, Robotics, or related field.

2-4 years of relevant experience in Computer Vision and Machine Vision Systems.

Strong analytical and problem-solving skills.

Ability to work independently and take ownership of projects.

Positive communication and teamwork skills.

Willingness to work on real-world industrial deployments and customer-facing projects.

Work Location: In person

📌 Computer Vision Engineer (Gurugram)
🏢 CogniForge Technologies
📍 Gurugram