Responsibilities

• Design, build, and deploy machine learning models to improve print production processes.
• Develop predictive models for equipment maintenance, defect detection, and production optimization .
• Implement computer vision solutions for print quality inspection and defect detection .
• Collect, preprocess, and analyze large datasets from printing machines, sensors, and ERP/MES systems.
• Integrate AI models with existing manufacturing software and production systems.
• Build data pipelines for real-time monitoring and analytics.
• Develop AI-driven tools to optimize ink usage, color consistency, and machine calibration .
• Implement demand forecasting models for print orders and inventory planning.
• Improve workflow automation using AI and intelligent scheduling.
• Work with manufacturing engineers, production managers, and IT teams to identify AI opportunities.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field .
• 3+ years of experience in machine learning or AI engineering .
• Strong programming skills in Python .
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn .
• Knowledge of computer vision techniques for image analysis and defect detection.
• Experience working with large datasets and building data pipelines.

Preferred

• Experience in manufacturing or industrial automation environments.
• Familiarity with Industrial IoT (IIoT) and sensor data processing.
• Experience integrating AI systems with ERP/MES platforms such as SAP ERP or Oracle NetSuite .