Senior Machine Learning Engineer

Website SAP

Senior Machine Learning Engineer | SAP | UAE & KSA

Role Overview

SAP is looking for a visionary Senior Machine Learning Engineer to join our expanding team of AI experts dedicated to the Middle East market. In this role, you will lead the architecture and delivery of production-grade ML and Generative AI systems that power over 80% of global commerce. You won’t just build models; you will own the entire lifecycle—from data pipelines and feature stores to LLM applications and responsible AI controls. This is a high-impact position for a technical leader who thrives on turning complex business challenges into scalable, high-performing AI frameworks.


Key Responsibilities

AI Architecture & Generative AI Leadership

  • System Design: Lead the end-to-end design of ML and GenAI systems to solve complex product problems at scale.

  • Full-Stack Ownership: Architect and implement data pipelines, feature stores, training workflows, model-serving infrastructure, and online experimentation.

  • Advanced GenAI: Drive use cases involving RAG (Retrieval-Augmented Generation), tool use, evaluation harnesses, and safety controls.

  • Core Domains: Lead technical direction across deep learning, NLP, ranking, recommendations, and semantic retrieval.

Optimization & MLOps

  • Performance Engineering: Optimize for latency, reliability, and cost-efficiency; manage distributed training and inference, GPU utilization, and model compression.

  • Operational Observability: Implement drift detection, retraining strategies, and rigorous monitoring for live environments.

  • Prompt & Retrieval Strategy: Oversee prompt optimization and retrieval refinement to ensure high-fidelity outputs.

  • Technical Mentorship: Guide other engineers and translate technical best practices into reusable platform capabilities.

Regional Innovation

  • Market Impact: Serve customers across the Kingdom of Saudi Arabia and the United Arab Emirates, blending regional understanding with deep technical expertise.

  • Collaboration: Work within a high-impact, collaborative environment to transform industry challenges into practical, production-ready solutions.


What You Bring (The Ideal Profile)

  • Technical Depth: Professional experience in designing and delivering production-grade ML systems at scale.

  • GenAI Proficiency: Hands-on experience with LLMs, including RAG implementation and agentic workflows.

  • Engineering Rigor: Mastery of data pipelines, MLOps, and scalable model-serving infrastructure.

  • Leadership: Ability to mentor engineers and guide the technical direction of high-stakes AI projects.

  • Curiosity & Ownership: A customer-centric mindset with a passion for building new, reliable frameworks in a fast-evolving landscape.


Diversity & Impact by the Numbers

At SAP, we believe our strength lies in our global reach and the diverse perspectives of our workforce.

Category Impact & Representation
Global Reach Touches 80% of global commerce.
Workforce Over 100,000 employees worldwide.
Nationalities Representing over 150 different countries.
Gender Diversity Women make up 35% of the total workforce (SAP 2023 Data).
Racial Diversity (US) ~5.5% Black/African American; ~7.5% Hispanic/Latino (SAP 2023 US Data).
Innovation Scale Serving 400,000+ customers globally.

About the Team

We are engineers passionate about technical excellence. We value ownership and curiosity, and we thrive on solving the hardest problems in the industry. At SAP, you will find a collaborative culture that prioritizes your well-being while challenging you to grow.


Are you ready to help the world run better? Bring your unique talents to SAP and shape what’s next in business AI.

Requisition ID: 450236 | Work Area: Software-Design and Development | Travel: 0 – 10% | Career Status: Professional | Location: #LI-Hybrid (UAE/KSA)

More information

Job Location : Dubai – United Arab Emirates
City : Dubai
Company Name : SAP

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To apply for this job please visit jobs.sap.com.