About Smart Udyog

Smart Udyog is an industrial automation company redefining manufacturing with cutting-edge technologies like Industry 4.0 and 5.0. We develop intelligent software and hardware solutions—ranging from AI-powered quality inspection to IIoT platforms—that drive precision, speed, and smart decision-making on the factory floor.

Role Overview

We’re hiring a Computer Vision Engineer to develop and deploy advanced vision-based automation systems. You’ll work on real-time defect detection, classification, OCR, and quality control—enabling smart manufacturing across diverse industrial environments.

Key Responsibilities

● Develop and optimize cutting-edge AI models for defect detection, classification, and real-time tracking in industrial environments.

● Design and implement advanced machine vision pipelines, including camera integration, multi-camera setups, and adaptive lighting strategies.

● Collaborate with hardware teams to deploy and optimize AI models on edge devices, ensuring high throughput and low latency.

● Enhance model accuracy using data augmentation, labeling tools, and continuous feedback loops.

● Monitor system performance, ensuring real-time reliability and rapid response to anomalies in production. 

Required Skills

● Strong expertise in Python, OpenCV, and deep learning frameworks (PyTorch/TensorFlow) for computer vision tasks.

● Experience in defect detection, OCR, and object tracking under challenging industrial conditions (lighting, occlusion, blur).

● Proficiency in deploying models to edge devices (Jetson, Xavier) with optimization for real-time AI inference.

● Understanding of industrial imaging challenges and advanced techniques for image quality improvement.

● Degree in Computer Science, Electrical Engineering, or related fields, with hands-on experience in machine vision

Why Join Us?

● Build real-world AI that powers next-gen smart factories.

● Work with a fast-growing, product-focused team.

● Competitive pay, hands-on innovation, and growth opportunities.