(Senior) Applied AI and Data Engineer (f/m/d)
SAPAbout the role
We help the world run better
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
What you`ll do
Summary:
We are looking for a top-notch experienced (Senior) AI and Data Engineer to support our agile AI development team in engineering enterprise grade ML/AI and big data solutions for SAP’s internal business organizations.
The Role:
- Work with a global, agile team of data scientists, AI/ML engineers and software engineers on AI and big data pipelines as well as on the E2E lifecycle
- Support the development process of cutting edge data science and AI solutions and lead the development, maintenance, optimization and migration of data infrastructure and ETL processes across business domains
- Introduce AI, data and software engineering best practices along the AI and big data application lifecycle in close collaboration with our Data Scientists and ML Developers
- Execute enterprise-grade Data- and MLOps: continuous integration, continuous delivery, and continuous training for our ML models and data pipelines
- Drive architectural decisions for enterprise grade AI solutions
- Keep up-to-date with state-of-the-art algorithms and technologies in AI and data engineering and act as a thought leader in the AI and data engineering space
What you bring
We are looking for a driven and motivated team player with at least a Master's Degree in Computer Science, Data Engineering, or related fields. You should have multiple years of experience in Python programming and in distributed computing frameworks such as Apache Spark. Additionally, solid experience with data modeling, ETL processes, and cloud infrastructure is required. A strong background with a wide range of ML/AI algorithms, statistical models and ML architectures rounds off the profile.
In more detail, candidates should have exceptional skills in:
- Big Data processing and analytics (e.g., Apache Spark, Databricks)
- Broad knowledge of MLOps best practices and the AI Lifecycle
- Cloud platforms and services (e.g., GCP, Azure, BTP)
- Data warehousing (e.g. Bigquery, SAP BW)
- Data pipeline development and optimization
- Enterprise grade AI best practices and architectures
- Regular usage of software version control and automation tools (e.g., Git, Jenkins, etc.)
- Comprehensive understanding of GitOps/DataOps best practices
As we are a diverse multi-cultural team, strong oral and written communication skills in English are a must. Good German language skills are desirable.
Since we provide cutting-edge, innovative AI/ML solutions to complex business problems, we value an open, out-of-the-box-thinking, creative, and solution-oriented mindset, supported by in-depth AI and data engineering experience.
Meet your team
The Infused Intelligence team belongs to the Corporate Processes & Information Technology (CPIT) organization. We are responsible for delivering innovative and user-centric solutions through different Machine Learning and Artificial Intelligence technologies to internal stakeholders across a wide range of SAP’s own business processes. Our data comes from multiple internal and external data sources, containing structured and unstructured data. Our models are built on state-of-the-art AI development platforms while adhering to our AI model lifecycle management.
The team is responsible end-to-end for internal custom-tailored and innovative Business AI solutions.
Bring out your best<
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