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Computer Vision/Machine Vision Engineer

TekPillar Services Pvt. Ltd
Multiple Locations
5 - 10 Years
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4.7white-divider52+ Reviews

Posted on: 25/12/2025

Job Description

Job Role : Machine Vision Engineer / Computer Vision Engineer


Experience : 5 - 8 Years


Location : Manesar, HR


Job Overview :


- We are seeking a skilled Machine Vision / Computer Vision Engineer to design, develop, and deploy industrial vision systems for automated inspection, measurement, and quality control. The ideal candidate will have strong expertise in image processing, deep learning, and industrial automation environments, with hands-on experience using modern vision frameworks and hardware.


Key Responsibilities :


- Design and develop machine vision systems for automated inspection, measurement, and defect detection


- Develop and optimize image processing and computer vision algorithms


- Build and deploy object detection and deep learning models using TensorFlow and PyTorch


- Configure and program machine vision software and hardware (cameras, lenses, lighting)


- Integrate vision systems with robotics and industrial automation equipment


- Perform system testing, validation, and performance tuning to ensure accuracy and reliability


- Troubleshoot and resolve issues related to vision systems and automation workflows


- Provide technical support and training to operators and maintenance teams


- Document system architecture, configurations, SOPs, and maintenance procedures


- Stay up to date with the latest advancements in computer vision, AI, and automation technologies


Mandatory Skills & Qualifications :


- Strong hands-on experience with : TensorFlow, PyTorch, Object Detection techniques, OpenCV, NumPy


- Proficiency in Python and/or C++ (C# is a plus)


- Solid understanding of image processing algorithms and vision techniques


- Experience developing vision systems in industrial or manufacturing environments


- Hands-on experience with vision software platforms such as : OpenCV, HALCON, Cognex (or similar)


- Experience working with vision hardware : Industrial cameras, Lenses, Lighting systems


- Strong problem-solving skills and attention to detail


- Ability to work effectively with cross-functional engineering teams


Preferred / Good to Have Skills :


- Experience with AI-based / Deep Learning vision systems


- Familiarity with robotics and automation systems


- Knowledge of industrial communication protocols (Ethernet/IP, Profibus, etc.)


- Exposure to CAD tools and system design documentation


- Experience managing multiple projects in a fast-paced environment


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