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الجنسية
أي جنسية
جنس
غير مذكور
عدد الشواغر
1 عدد الشواغر
الوصف الوظيفي
الأدوار والمسؤوليات
In this role, you'll lead the design and delivery of production-grade ML and generative AI systems that solve complex product and business problems at scale. You'll own architecture and implementation across data pipelines, feature stores, training workflows, model-serving infrastructure, online experimentation, and observability.
You'll drive advanced use cases across deep learning, NLP, ranking, recommendation, forecasting, semantic retrieval, and LLM applications, including RAG, tool use, evaluation harnesses, and safety controls. Your work will directly shape performance, reliability, latency, and cost efficiency in live environments. You ll guide technical direction on topics such as model selection, distributed training and inference, GPU utilization, model compression, prompt and retrieval optimization, drift detection, retraining strategy, and responsible AI controls. You ll mentor other engineers and turn best practices into reusable patterns and platform capabilities.
What you bring:
- You bring expert-level programming skills in Python, along with strong software engineering expertise in languages such as Java or Go, enabling you to build scalable, production-grade systems
- You have deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems
- You have extensive experience designing and operating end-to-end ML systems, from data ingestion and experimentation to deployment, observability, and lifecycle management
- You bring strong hands-on experience with modern ML and LLM tooling (e.g., PyTorch, TensorFlow, scikit-learn), including fine-tuning, evaluation, orchestration, and model serving
- You have practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails
- You bring deep expertise in MLOps and platform engineering, including model registries, feature stores, CI/CD, infrastructure as code, experiment tracking, and automated validation
- You have a strong architectural understanding of distributed systems, event-driven services, streaming data, and cloud-native ML platforms, with the ability to optimize for performance, scalability, reliability, and cost
- You define robust evaluation and governance strategies, including offline benchmarking, online experimentation, hallucination analysis, model risk assessment, and responsible AI practices
الملف الشخصي المطلوب للمرشحين
span>What you bring:/strong> /span> /p>_x000D_
- _x000D_
- You bring expert-level programming skills in Python, along with strong software engineering expertise in languages such as Java or Go, enabling you to build scalable, production-grade systems /li>_x000D_
- You have deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems /li>_x000D_
- You have extensive experience designing and operating end-to-end ML systems, from data ingestion and experimentation to deployment, observability, and lifecycle management /li>_x000D_
- You bring strong hands-on experience with modern ML and LLM tooling (e.g., PyTorch, TensorFlow, scikit-learn), including fine-tuning, evaluation, orchestration, and model serving /li>_x000D_
- You have practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails /li>_x000D_
- You bring deep expertise in MLOps and platform engineering, including model registries, feature stores, CI/CD, infrastructure as code, experiment tracking, and automated validation /li>_x000D_
- You have a strong architectural understanding of distributed systems, event-driven services, streaming data, and cloud-native ML platforms, with the ability to optimize for performance, scalability, reliability, and cost /li>_x000D_
- You define robust evaluation and governance strategies, including offline benchmarking, online experimentation, hallucination analysis, model risk assessment, and responsible AI practices/li>_x000D_
/p>_x000D_
strong> span>About You /strong> /span> /p>_x000D_
- _x000D_
- You bring 7-9+ years of experience in software engineering and machine learning, with a track record of leading and delivering complex, production-scale AI systems/li>_x000D_
- You combine strong product judgment with technical depth, translating ambiguous business problems into scalable, high-impact AI solutions /li>_x000D_
- You thrive in complex, fast-moving environments and bring clarity, ownership, and strategic thinking to drive long-term platform success/li>_x000D_
القطاع المهني للشركة
المجال الوظيفي / القسم
الكلمات الرئيسية
- Senior Machine Learning Engineer
تنويه: نوكري غلف هو مجرد منصة لجمع الباحثين عن عمل وأصحاب العمل معا. وينصح المتقدمون بالبحث في حسن نية صاحب العمل المحتمل بشكل مستقل. نحن لا نؤيد أي طلبات لدفع الأموال وننصح بشدة ضد تبادل المعلومات الشخصية أو المصرفية ذات الصلة. نوصي أيضا زيارة نصائح أمنية للمزيد من المعلومات. إذا كنت تشك في أي احتيال أو سوء تصرف ، راسلنا عبر البريد الإلكتروني abuse@naukrigulf.com
SAP
strong>We help the world run better/strong> br>At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. /p>_x000D_ /p>_x000D_ strong> span>Where you belong:/strong> /span> /p>_x000D_ You will be part of a growing team of AI and industry experts dedicated to serving customers across the Kingdom of Saudi Arabia / United Arab Emirates. 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./p>
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./p>
/p>
strong>Bring out your best/strong> br>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 company 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. br> br> strong>We win with inclusion/strong> br>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 company, 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.br>
https://jobs.sap.com/job/Dubai-Senior-Machine-Learning-Engineer-Duba-118353/1381618433/