Machine Learning Engineer

Machine Learning Engineer As a Machine Learning Engineer at SAP, you will work within an international team of machine learning engineers, data scientists, and data engineers to deliver top‑grade machine learning–based cloud solutions into production. You will build agents, leverage LLMs, and work with SAP’s internal ML System to solve real‑world challenges for SAP’s customers. What you’ll do Explore, understand, and manage SAP Concur’s data storage systems and machine learning environments Develop new agents that leverage LLMs, APIs, and datasets, including RAG based patterns Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact Help ensure performance, reliability and ongoing improvement of our data pipelines in continuous collaboration with development teams Continuously improve data platform efficiency, cost optimization, and operational excellence What you bring Strong AI/ML skills using Python, and experience delivering industrial‑strength ML features shipping to millions of users 3+ years of AWS experience using services such as S3, DynamoDB and Redshift 3+ years of experience shipping software in a professional team, using GitHub and CI/CD pipelines Solid understanding of data modeling concepts (fact/dimension modeling, schema design, normalization vs. denormalization) Analytical mindset, curiosity and a drive to produce excellent solutions Understanding of practical and privacy concerns surrounding data and AI development Familiarity with data quality frameworks, schema evolution, and metadata management Exposure to feature stores or ML data platforms Experience working with large‑scale, high‑volume datasets in production Fluency in written and spoken English Mastery of Python and libraries for machine learning, AI and Python frameworks such as Pandas Strong experience with SQL or NoSQL databases Your own vision on how SAP can be more efficient with both data and ML services in production Experience with big data frameworks (Spark, PySpark) Experience with workflow orchestration tools (Airflow, Step Functions) Tech you’ll learn Latest developments in applied ML and AI in customer‑facing products Best practices for building functional and compliant ML and AI solutions Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status or disability, in compliance with applicable federal, state, and local legal requirements.

SAP is committed to Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you need assistance during the application process, contact Recruiting Operations Team: Careers@sap.com. #J-18808-Ljbffr