SAP Senior Data Scientist 

Saudi Arabia, Eastern Province, Al Khubar 

286737729

What you'll do

• Explore, understand, and implement the most recent machine learning and GenAI algorithms and approaches, including large language models (LLMs), transformers, and prompt engineering.
• Push the frontiers of what is possible in the area of machine learning with real data.
• Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact, including the integration of GenAI capabilities
• Help to ensure performance, reliability, and ongoing improvement of our model deliverables—including GenAI models—by applying MLOps best practices such as automated testing, continuous integration/continuous deployment (CI/CD), monitoring, and model versioning in close collaboration with development teams.
• Naturally work cross-group (Developers, Product Managers, and stakeholders) to bring teams together and deliver state-of-the-art applied AI products. Provide technical leadership to junior members of the team.

What you bring

• In-depth AI and data science knowledge, with a focus on deep learning and GenAI (e.g., LLMs, transformers).
• Strong software engineering skills using Python and machine learning software packages such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, CI/CD pipelines, model monitoring, and automated testing).
• Analytical mindset, curiosity, and a drive to produce excellent solutions.
• Understanding of practical, ethical, and privacy concerns surrounding AI and GenAI development, including responsible AI practices.
• Past experience of building productionized deep learning and/or GenAI models.
• Experience in designing, fine-tuning, and deploying models for tasks such as text extraction, summarization, question answering, or information retrieval.
• Fluency in both written and spoken English.

Tech you bring

• Mastery of Python and Python libraries for ML and GenAI (e.g., Scikit Learn, PyTorch, Hugging Face Transformers, LangChain).
• Experience with SQL or NoSQL databases.
• Familiarity with prompt engineering, model fine-tuning, and evaluation of GenAI models.
• Hands-on experience with MLOps tools and frameworks for model deployment, monitoring, and lifecycle management.
• Critical thinking capability.

Tech you'll learn

• Latest developments in applied ML, AI, and GenAI in customer-facing products.
• Best practices for building functional, compliant, and responsible ML, AI, and GenAI solutions.
• Advanced MLOps methodologies 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

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

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