Senior Machine Learning Engineer

What you’ll do

Summary:

At SAP, we amplify the strength of AI technology, fusing it with our robust industry‑focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains.

Our goal is to combine the power of LLMs with Knowledge Graphs for business AI problems in SAP applications.

We are a nimble and versatile engineering team created to empower our Data Scientists. This team will be responsible for developing cutting‑edge tools, providing development resources for proof‑of‑concept projects, and collaborating on groundbreaking Gen‑AI initiatives. Our ultimate objective is to expedite the development and implementation of innovative Gen AI features throughout SAP.

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design and implement a variety of projects around the Gen‑AI space.

• Work closely with our lead architect to craft solutions to the many challenges facing our Data Scientist partners.
• Work closely with SAP data scientists to understand their projects and their needs.
• Create high level requirements and designs.
• Follow and help define architectural / coding best practices and participate in software design and code reviews with the development team consisting of frontend-, backend-, full‑stack, Dev‑Ops and AI engineers.
• Support the product team with technical feasibility analysis, solution proposals, and ballpark effort estimations.
• Contribute to all processes of the ML lifecycle: data collection, annotation, modeling, evaluation, deployment, and monitoring.

Required:

• Masters of science degree in Software Engineering.
• Experience in designing, developing, deploying, and testing multi‑tenant business applications in the cloud with a focus on backend infrastructure and AI models.
• Experience in developing data‑driven microservices, APIs, CI/CD pipelines, data pipelines, TDD, hands‑on experience with Docker containers and Kubernetes, familiar with one of the cloud providers.
• At least 7+ years of professional experience as a developer.
• 3+ years working with SAP BTP platform & SAP AI Core.
• Strong knowledge in Java, Python and Node Js.
• At least 2+ years of professional experience optimizing and serving Machine Learning models.
• Experience with Python in Linux‑based environments, Git, and ML frameworks (PyTorch/Tensor Flow).
• Experience in data analysis and visualization and strong knowledge in SQL or Postgres.
• Ability to work in an agile environment using SCRUM methodology.
• Strong communication and collaboration skills, with the ability to work effectively in cross‑cultural teams.

Preferred:

• Experience in data science or data engineering.
• Experience working with Generative AI Models.
• Experience working with SAP GenAI Hub tools and underlying architecture.
• Familiarity with Git, Docker, Kubernetes, AWS, GCP, Azure, ReactJS, SAP UI5.

The SAP’s Business AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status, or disability.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this…