Intern/ Working Student

vor 2 Monaten

Walldorf, Deutschland SAP Vollzeit

**We help the world run better**

**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.
- 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).
- Be available for this position for at least 1 year, enrolled as a student for the whole contract duration

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.- #Workingstudent #Werkstudent #Internship #Praktikum #Thesis #Germany #Deutschland #Student_

**We build breakthroughs together**

**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.

Requisition ID: 391886 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid

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