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SAP Data Scientist - Intelligent Audit 
Saudi Arabia, Eastern Province, Al Khubar 
613391914

Yesterday

What you’ll do

  • Implement machine learning and GenAI algorithms, including large language models (LLMs) and transformers.
  • Support the team in developing and testing AI solutions using real data.
  • Assist in monitoring and improving the performance of our AI models by following MLOps best practices, such as automated testing and model versioning, with guidance from senior team members.
  • Collaborate with different teams (Developers, Product Managers, and stakeholders) to help deliver high-quality AI products.

What you bring

  • Knowledge of AI and data science, with an interest in deep learning and GenAI (e.g., LLMs, transformers).
  • Experience with Python and machine learning libraries such as Scikit Learn, TensorFlow, or PyTorch (coursework or personal projects welcome).
  • Experience with MLOps tools and practices (e.g., Docker, CI/CD pipelines, model monitoring).
  • Analytical thinking, curiosity, and a desire to learn and grow.
  • Awareness of ethical and privacy considerations in AI.
  • Fluency in both written and spoken English.

Tech you bring

  • Familiarity with Python and basic ML libraries (e.g., Scikit Learn, PyTorch, or Hugging Face Transformers).
  • Experience with SQL or NoSQL databases is a plus.
  • Experience with prompt engineering, model fine-tuning, and GenAI evaluation.
  • Basic knowledge of MLOps tools and frameworks.
  • Problem-solving mindset.

Tech you’ll learn

  • The latest developments in applied ML, AI, and GenAI for real-world products.
  • Best practices for building responsible and effective ML, AI, and GenAI solutions.
  • Advanced MLOps methods for scalable and reliable machine learning operations.


Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our

Please note that any violation of these guidelines may result in disqualification from the hiring process.


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