Job Description:
Key Objectives
1. Assess current document workflows and define automation requirements
2. Design and deploy AI-based OCR and document classification models
3. Integrate third-party AI/OCR services into Moodle via APIs and/or custom plugins
4. Configure automated ingestion, tagging, and indexing workflows
5. Optimize model accuracy and processing performance
6. Develop reporting dashboards for document tracking and analytics
7. Deliver documentation and provide training to internal teams
8. Ensure full compliance with data privacy and security standards
Key Responsibilities
• Implement OCR solutions (e.g., Tesseract, AWS Textract, Google Vision API)
• Develop NLP-based metadata extraction and intelligent tagging
• Build or customize Moodle plugins for AI-based document processing
• Integrate with cloud services (AWS, Azure, GCP) as required
• Conduct testing, validation, and performance tuning
• Maintain version control and technical documentation
• Provide knowledge transfer before end of contract
Required Qualifications
• Bachelor’s or master’s degree in computer science, AI, Data Science, or related field
• 3–5+ years of AI/ML implementation experience
• Demonstrated experience with OCR and document automation tools
• Strong proficiency in Python, APIs, and database management
• Experience integrating AI solutions into LMS platforms (preferably Moodle)
• Understanding of FERPA, GDPR, and data security best practices