Machine Learning Engineer

vor 3 Wochen

Walldorf, Baden-Württemberg, Deutschland SAP Vollzeit

About the Role

The Infused Intelligence team at SAP is responsible for delivering innovative and user-centric cloud solutions through different AI/ML technologies to internal stakeholders. As a Data Scientist Intern, you will 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.

Key Responsibilities

  • Work 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)

Requirements

  • 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.

About SAP

SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.

About Our Culture

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.

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