Senior Machine Learning Engineer, SAP Application AI Team

We help the world run better 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.        About the Role    We are seeking a highly motivated Senior Machine Learning Engineer to join our team and work directly with customers on challenging business problems. In this role, you will apply advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what is possible with AI. You will work across customer projects, strategic product development, and research initiatives making a real-world impact from day one.  This position is ideal for an experienced AI professional with a strong technical foundation, business acumen, and a passion for bridging research innovation with practical business applications. In this position, you will work on cutting-edge AI projects with direct customer impact.    What You Bring  Education & Experience           Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field          5+ years of experience in machine learning, data science, or AI research (industry, research lab, or advanced academic projects) Technical Skills

Strong background in machine learning, deep learning, data mining, and/or optimization  Proficiency with Python and machine learning libraries (e.g., PyTorch, TensorFlow, scikit-learn)  Extensive experience working with real-world datasets, data preprocessing, and model deployment  Expertise working with cloud environments (AWS, Azure, GCP)  Solid understanding of MLOps, CI/CD for ML, monitoring  Core Competencies  Ability to translate abstract business challenges into concrete AI solutions  Strong analytical, problem-solving, and mathematical modeling skills  Curiosity and initiative in exploring new AI techniques and applications  Ability to collect and process necessary data utilizing big data infrastructures and data processing/transformation tools such as Databricks  Write production-grade Python code  Excellent communication and collaboration skills, especially in customer-facing environments  Commitment to ethical and explainable AI practices  Significant experience with agile software development methods

What You Build   Collaborating with product & engineering leaders, executives, customers and other senior stakeholders, you will plan, direct, and deliver prototype and production grade AI solutions for strategic business problems.  Mathematical Modeling & Algorithm Design

Translate complex business problems into mathematical or computational models.  Design, implement, and optimize machine learning algorithms and data mining workflows

Rapid Prototyping & Customer Engagement

Collaborate directly with customers to understand business needs, define requirements, and deliver proof-of-concept as well as production-grade AI solutions  Build, integrate, and test AI-driven prototypes and applications for real-world use cases

AI Development & Research

Support internal teams by designing and implementing novel machine learning algorithms  Apply recent research breakthroughs to practical problems to create measurable business value  Contribute to continuous improvement of system scalability, performance, and explainability

Communication & Collaboration

Clearly communicate complex results and insights to both technical and non-technical stakeholders  Visualize and document findings to ensure transparency and reproducibility  Work