Senior Machine Learning Engineer

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. 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. You'll guide technical direction on model selection, distributed training and inference, GPU utilization, model compression, prompt and retrieval optimization, drift detection, retraining strategy, and responsible AI controls. You bring expert-level programming skills in Python, along with strong software engineering expertise in languages such as Java or Go. Deep knowledge of machine learning, deep learning, and optimization techniques across structured data, NLP, search, ranking, and recommendation problems. Extensive experience designing and operating end-to-end ML systems. Hands-on experience with modern ML and LLM tooling like PyTorch, TensorFlow, scikit-learn. Practical experience building generative AI applications using embeddings, vector databases, RAG pipelines, agent workflows, prompt engineering, and guardrails. Deep expertise in MLOps and platform engineering, model registries, feature stores, CI/CD, infrastructure as code, experiment tracking. Bring 7-9+ years of experience in software engineering and machine learning. You will be part of a growing team of AI and industry experts dedicated to serving customers across KSA / UAE.