As a Machine Learning Engineer, you will work within an international team of other machine learning engineers, data scientists and data engineers to deliver top-grade machine learning-based cloud solutions into production. We solve real-world challenges posed by SAP's customers and product units with a focus on central platform services and infrastructure. You will work with SAP's internal ML System, build agents and leverage LLMs. SAP has some of the richest data sets available in industry.
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 to 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 using ML techniques to deliver end user industrial strength ML features, shipping to millions of users.
- 3+ years of AWS experience using numerous AWS Services such as S3, DynamoDB and Redshift.
- 3+ years of experience of shipping software in a professional software team, using GitHub and CICD 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 both written and spoken English
Tech you bring
- Mastery of Python and Python 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 withworkflow orchestration tools(Airflow, Step Functions).
Tech you'll learn
- Latest development in applied ML and AI in customer-facing products.
- Best practices for building functional and compliant ML and AI solutions.
Meet your team
As Intelligent Spend and Business Network, we play a crucial role in addressing our customers' end-to-end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain. Our data science team is a small team with diverse backgrounds which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions.
#LI-DD2
Requisition ID: 454734 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Requisition ID: 454734
Posted Date: Jun 9, 2026
Work Area: Software-Design and Development
Career Status: Professional
Employment Type: Regular Full Time
Expected Travel: 0 - 10%
Location:
