Computer Vision & AI Engineer

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About Robro Systems

AI-powered machine vision and industrial automation

Role Overview

AI / Computer Vision Engineer

Key Responsibilities

• Develop and implement AI and computer vision algorithms for defect detection, classification, and process optimization.
  
• Work with large datasets to train, validate, and optimize machine learning and deep learning models.
  
• Collaborate with cross-functional teams (Engineering, Product, Robotics) to integrate AI solutions into industrial systems.
  
• Deploy AI models to production environments and monitor performance.
  
• Troubleshoot, refine, and improve algorithms for accuracy, efficiency, and scalability.
  
• Stay updated on the latest advancements in AI, deep learning, and computer vision technologies.
  
• Document and communicate technical solutions effectively to team members and stakeholders.
  

Requirements

Education:

• Bachelor’s or Master’s degree in Engineering (Computer Science, Electrical Engineering, Robotics, or related field).
  

Experience:

• 1–5 years of experience in AI, machine learning, and computer vision development.
  

Skills:

• Strong knowledge of machine learning, deep learning, and computer vision techniques.
  
• Proficiency with AI frameworks such as TensorFlow, PyTorch, or similar.
  
• Experience with computer vision libraries like OpenCV.
  
• Strong programming skills in Python, C++, or equivalent languages.
  
• Analytical mindset with strong problem-solving capabilities.
  
• Excellent communication and teamwork skills.
  

Preferred:

• Experience in industrial automation, robotics, or machine vision systems.
  
• Knowledge of edge computing and deployment of AI models on embedded/hardware devices.
  
• Familiarity with cloud platforms and AI deployment tools.
  
• Prior experience in production-level deployment of AI models.