الرئيسية » Machine Learning Engineer

Machine Learning Engineer at SAP SE

المنصب Machine Learning Engineer
نُشر في 11 Apr 2026
انتهت الصلاحية 11 May 2026
الشركة SAP SE
الموقع Riyadh | SA
نوع الوظيفة Full Time

الوصف الوظيفي:

أحدث معلومات الوظائف من SAP SE لمنصب Machine Learning Engineer. If the Machine Learning Engineer الشاغرة في Riyadh تتوافق مع مؤهلاتك، يرجى تقديم أحدث طلب أو سيرة ذاتية مباشرة من خلال بوابة وظائف Jobkos المحدثة.

يرجى ملاحظة أن التقديم على وظيفة قد لا يكون سهلاً دائماً، حيث يجب على المرشحين الجدد استيفاء مؤهلات ومتطلبات معينة تحددها الشركة. نأمل أن تكون الفرصة المهنية في SAP SE لمنصب Machine Learning Engineer أدناه تتوافق مع مؤهلاتك.

What you’ll build

In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model‑serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.

Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM‑based workflows, including prompt design, retrieval‑augmented generation, vector search, guardrails, and response quality evaluation. You’ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost‑aware, secure, and ready for enterprise scale.

What you bring
  • You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production‑grade services and APIs
  • You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems
  • You have hands‑on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine‑tuning, and inference
  • You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics
  • You have experience building, deploying, and integrating ML models into production systems through batch, real‑time, or streaming pipelines
  • You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval‑augmented generation, and how to apply them in practical use cases
  • You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores
  • You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact
About You
  • You have 1‑3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production
  • You are passionate about building reliable, scalable ML systems and take ownership of delivering end‑to‑end solutions
  • You balance experimentation with engineering rigor, making thoughtful trade‑offs to ensure models are both innovative and production‑ready
  • You are a collaborative problem‑solver who thrives in ambiguous environments and is motivated by delivering measurable business impact
Where you belong

You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of المملكة العربية السعودية / الإمارات العربية المتحدة. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.

This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.

About the team

We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting‑edge technologies, and collaborating closely to deliver AI systems that are reliable, high‑performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end‑to‑end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud الشركة with two hundred million users and more than one hundred thousand employees worldwide, we are purpose‑driven and future‑focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well‑being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our الشركة, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e‑mail with your request to Recruiting Operations Team: .

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

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

Requisition ID: 450210 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional الموقعs: #LI-Hybrid

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

#J-18808-Ljbffr

معلومات الوظيفة:

  • الشركة: SAP SE
  • المنصب: Machine Learning Engineer
  • مكان العمل: Riyadh
  • الدولة: SA

كيفية تقديم الطلب:

بعد قراءة وفهم المعايير ومتطلبات الحد الأدنى من المؤهلات الموضحة في معلومات الوظيفة Machine Learning Engineer at the office Riyadh أعلاه، أكمل فوراً ملفات طلب الوظيفة مثل خطاب التقديم، السيرة الذاتية، نسخة من الشهادة الجامعية، كشف الدرجات، والملاحق الأخرى كما هو موضح أعلاه. أرسلها عبر رابط الصفحة التالية أدناه.

انتهت صلاحية هذا الإعلان الوظيفي (منذ أكثر من 30 يوماً).
يرجى البحث عن أحدث فرص العمل على موقعنا الصفحة الرئيسية.

وظائف شاغرة مماثلة

  Contract Manager at Dar wa Emaar
نُشر في: 7 hours ago

الوصف: Responsibilities Lead the preparation, review, negotiation, and administration of contracts for construction, design, consultancy, procurement, and service agreements.Develop and maintain standardized...

الشركة: Dar wa Emaar | الموقع: Riyadh
  مجمع البحث عن وظائف 2026
من نحن
سياسة الخصوصية
إخلاء المسؤولية
الشروط والأحكام
اتصل بنا
إرسال ملف XML

© Jobkos

  من خلال زيارة موقع Jobkos أو عرض أو الوصول إلى أو استخدام أي من الخدمات أو المعلومات التي تم إنشاؤها أو جمعها أو تجميعها أو إرسالها إلى Jobkos، فإنك توافق على الالتزام بشروط وأحكام الخدمة التالية.
تم الإنشاء بواسطة Jobkos | | | |