Description

You will lead the design and implementation of AI-driven automation for the Procure to Pay (P2P) process within the government sector.

This role is on-site.

Responsibilities

• Architect and train AI/ML models to process unstructured data including invoices, contracts, and tender documents.
• Fine-tune large language models for bilingual text processing in English and Arabic.
• Develop APIs and middleware to integrate AI/ML models with SAP modules.
• Automate manual P2P lifecycle tasks such as invoice processing, approvals, and compliance checks.
• Monitor model performance for scalability and implement feedback loops to improve accuracy.

Required Skills

• 5+ years of experience in AI/ML engineering focusing on enterprise process automation.
• Proficiency in training and fine-tuning LLMs using OpenAI, Hugging Face, or similar frameworks.
• Expertise in Python and frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Strong understanding of NLP techniques for multilingual document processing (English and Arabic).
• Experience integrating AI/ML models into ERP systems, specifically SAP.
• Hands-on experience with cloud platforms including AWS, Azure, or GCP.
• Practical knowledge of APIs, DevOps practices, and data privacy regulations.
• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Preferred Skills

• Experience with SAP P2P modules such as MM, FI, or SRM.
• Proficiency in OCR tools like Tesseract or ABBYY for document digitization.

Key Skills

Education

Any Graduate