Senior Data Scientist — Enterprise AI & GenAI

SAP SE; Dubai; On-site; AED 300,000 - 540,000; Full time

Job summary

SAP SE is seeking a data science and AI specialist to design and deploy production-ready ML solutions in a customer-facing environment. You will work with customers, engineers, and product teams to translate business challenges into scalable AI products, including generative AI applications leveraging LLMs, embeddings, and RAG.

You will deploy ML/AI solutions on cloud-native platforms, align with SAP data landscapes, and drive measurable business value across global customers.

Qualifications

• Strong hands-on expertise in Data Science, ML, and Applied AI.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar.

Responsibilities

• Transform business challenges into data-driven solutions by identifying analytical opportunities and developing predictive models.
• Design, develop, train, evaluate, and optimize ML models for enterprise scenarios.
• Develop Generative AI applications using LLMs, RAG, embeddings, and vector databases.
• Integrate AI solutions into enterprise applications and ensure production readiness.
• Define evaluation metrics, monitor deployed models, and improve accuracy and reliability.
• Collaborate with customers, engineers, and product teams to deliver end-to-end AI products.

Skills

Python

SQL

ML frameworks

LLMs

RAG

LangGraph/LangChain

AI orchestration

Cloud/MLOps

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

LangGraph

LangChain

CrewAI

AutoGen

Job description

SAP SE is seeking a data science and AI specialist to design and deploy production-ready ML solutions in a customer-facing environment. You will work with customers, engineers, and product teams to translate business challenges into scalable AI products, including generative AI applications leveraging LLMs, embeddings, and RAG.

You will deploy ML/AI solutions on cloud-native platforms, align with SAP data landscapes, and drive measurable business value across global customers.