Principal Machine Learning Engineer

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.

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 building a nimble and versatile engineering team to empower our Data Scientists within the AI Foundations and Research team. This team will develop cutting‑edge tools, provide development resources for proof‑of‑concept projects, and collaborate on groundbreaking Gen AI initiatives. Our ultimate objective is to expedite the development and implementation of innovative Gen AI features throughout SAP. Join us in this exciting journey of revolutionizing the future of AI!

As a Machine Learning Engineer Expert you will be responsible for guiding the team, providing direction and designs, and support while also being a hands‑on developer.

• Work closely with SAP data scientists to understand their projects and their needs.
• Create high level requirements and designs.
• Define and implement 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 ML engineers.
• Guide developers while giving them space to learn and grow.
• Support the product team with technical feasibility analysis, solution proposals, and ballpark effort estimations.
• Support customer workshops and engagements with holistic architecture and solution integration expertise.
• Communicate with central architecture teams inside SAP for software design and integration tasks.
• Stay on top of technology trends and actively participate in the SAP Expert community to share knowledge.

• Bachelor, Master or Ph.D. degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
• Proven experience in designing, developing, deploying, and testing multi‑tenant business applications in the cloud with a focus on backend infrastructure.
• Experience in developing data‑driven microservices, APIs, CI/CD pipelines, TDD, hands‑on experience with docker containers and Kubernetes, familiar with one of the cloud providers.
• At least 8+ years of professional experience as developer.
• Proven 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.

• Experience in designing, developing, deploying, and testing multi‑tenant business applications in the cloud with a focus on backend infrastructure.
• Experience in developing data‑driven microservices, APIs, CI/CD pipelines, TDD, hands‑on experience with docker containers and Kubernetes, familiar with one of the cloud providers.
• Experience in data science or data engineering.
• Knowledge about the SAP Business Technology Platform.
• Familiarity with JSON, Git, docker, Kubernetes, AWS, GCP.

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.

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