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, and we need your unique talents to help shape what's next. In this role, you'll build and operationalize machine learning and AI capabilities 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. What You Bring: - Strong programming skills in Python, along with working knowledge of Java or Go, for building production-grade services and APIs. - Solid understanding of machine learning fundamentals, including supervised and unsupervised methods. - Hands-on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine-tuning, and inference. - Experience building, deploying, and integrating ML models into production systems through batch, real-time, or streaming pipelines. - Familiarity with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval-augmented generation. - 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. - 1-3+ years of experience in machine learning engineering, software engineering, or a related field.