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AI CoE Manager – Machine Vision & Vision Inspection

VySystems

5 - 10 years

Mumbai

Posted: 12/02/2026

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Job Description

Hiring: AI CoE Manager Machine Vision & Vision Inspection

Location: Mumbai (Onsite) | Experience: 815 Years | Immediate Joiners Preferred


Domain: Pharmaceutical Manufacturing (Mandatory)


We are looking for a hands-on AI Center of Excellence Manager to lead and scale advanced Vision Inspection and Image Processing systems used in high-speed pharma manufacturing environments.

This role is for professionals with deep expertise in Machine Vision, OpenCV, C++, and Industrial Imaging Systems who have built and deployed production-grade inspection solutions under real-world constraints such as latency, accuracy, lighting variation, and hardware limitations.

Role Overview

You will lead the design and delivery of real-time vision inspection solutions for defect detection, segmentation, OCR, anomaly detection, and measurement systems. You will also build and mentor a strong AI/ML engineering team and establish robust AI and MLOps practices for production environments.

Key Responsibilities

  • Architect and optimize real-time vision inspection systems using OpenCV and C++
  • Develop hybrid pipelines combining classical image processing and deep learning
  • Work with high-speed cameras, optics, lighting, and industrial interfaces (GigE, CameraLink, Line/Area Scan)
  • Build AI models using CNNs, U-Net, YOLO, OCR, anomaly detection
  • Optimize edge AI performance using TensorRT, ONNX, CUDA, OpenVINO
  • Establish dataset governance, model versioning, CI/CD, and monitoring pipelines
  • Collaborate with mechanical, electrical, and automation teams for system-level integration
  • Lead code reviews, design reviews, and technical standards across the team

Must-Have Skills

  • Strong C++ (C++11/14/17) and OpenCV experience
  • Machine Vision / Vision Inspection / Image Segmentation
  • Experience in pharmaceutical, packaging, or manufacturing inspection systems
  • Understanding of cameras, optics, lighting, and imaging architecture
  • Hands-on with PyTorch/TensorFlow for computer vision models
  • Experience in performance optimization and real-time processing

Ideal Background

Professionals from machine vision, industrial automation, pharma inspection, or optical inspection environments.

If you have built real-time vision inspection systems in pharma or manufacturing and are ready to lead an AI CoE, share your profile or connect for more details.



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