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.

ABOUT THE TEAM

The Infused Intelligence team is responsible for delivering innovative and user-centric cloud solutions through different AI/ML technologies to internal stakeholders. Team members are building cutting-edge AI solutions for delivery into different lines of business ranging from marketing to post-sales, HR, and finance. The AI lifecycle where the team contributes includes data ingestion, processing, cleansing and analysis, model training and evaluation, as well as deployment to SAP environments like SAP HANA, SAP Analytics Cloud, and SAP BTP, as well as to hyperscaler partner offerings, leveraging MLOps practices. As every use case is unique and explicitly tailored to SAP’s own data and architecture, every use case offers research and development perspectives. In our team, you will analyze data for one of our new use cases and build a state-of-the-art model impacting our standard business processes.

THE ROLE

• Work with a team of data scientists, data, MLOps and software engineers on ML modeling and deployment of pipelines at all stages of development: data exploration, model training, model fine-tuning and optimization, productive deployment, testing and monitoring.
• Communicate with stakeholders to understand business processes and model input data.
• Support a high-visibility project along experienced data scientists and AI developers.
• Learn about applying data-centric AI development practices.
• Work with a modern cloud stack (SAP BTP, Hyperscaler offerings)

ROLE REQUIREMENTS

Must have:

• Bachelor’s Degree in Data Science or related fields,
• Proficiency in Python and at least one other programming/scripting language (e.g. Java, SQL, Scala),
• Experienced with basic data science and data visualization packages in Python (e.g., pandas, numpy, seaborn, statsmodels, matplotlib, etc.), working in notebook-based (e.g. Jupyter) or script-based environments,
• Experience in one or multiple machine learning frameworks (e.g. sklearn, pytorch, tensorflow, keras, MLLib)
• Knowledgeable on large scale data analysis with spark
• Good understanding of statistical methods (descriptive analyses, regression modeling, etc.) and model quality assessment (custom metrics, creation of validation sets, etc.)
• Strong oral and written communication skills in English,
• General interest in applied machine learning to solve business problems.
• Experience working with complex tabular data (preprocessing, solving data leakage problems, imbalanced data problems).

Nice to have:

• Experience with explainability and interpretability of machine learning models (SHAP, glass-box models)
• Experience with Deep Learning architectures (e.g. transformers)
• Familiar with software version control (e.g. GitHub, Git).
• Experience with CI/CD frameworks (e.g. Jenkins, Concourse, Gitlab CI/CD)
• Experience with MLOps tools (e.g., mlflow)
• Experience in writing tests for ML models.
• Interest in building model evaluation pipelines.

This is an SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

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Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.