1. PURPOSE AND SCOPE

Support the research, development, and maintenance of AI-based document processing solutions for logistics applications using OCR and Computer Vision technologies. Work closely with AI Engineers and Software Developers to gain practical experience in image processing, AI model development, and intelligent document processing for real-world applications.

2. RESPONSIBILITY

• Support the development of OCR solutions for logistics documents.
• Perform image preprocessing and document enhancement for OCR tasks.
• Prepare and annotate datasets for AI model training and evaluation.
• Assist in training, testing, fine-tuning, and improving AI/OCR models.
• Integrate AI/OCR models with applications through REST APIs.
• Debug and troubleshoot AI models to improve performance and accuracy.
• Collaborate with team members and participate in Agile/Scrum activities.

3.QUALIFICATION

• Pursuing or recently completed a degree in Artificial Intelligence, Computer Science, Information Technology, or a related field.
• Strong foundation in Python, Machine Learning, Deep Learning, and Computer Vision.
• Familiar with OpenCV and AI frameworks such as PyTorch or TensorFlow.
• Knowledge of OCR technologies (PaddleOCR, EasyOCR, or Tesseract) is a plus.
• Basic understanding of REST APIs and Git.
• Ability to read and understand technical documentation in English.
• Good analytical, problem-solving, teamwork, and communication skills.
• Previous academic or personal projects related to AI, Computer Vision, or OCR are an advantage.