SAP Intern / Working Student Thesis f/m/d - AI Engineering Support 

Germany, Baden-Württemberg 

423314282

THE ROLE

• Work with a team of data scientists, data, MLOps and software engineers on AI engineering tasks and deployment of pipelines at all stages of development: data engineering, model training, model fine-tuning and optimization, productive deployment, testing and monitoring.
• Contribute to infrastructure maintenance and to building reusable enterprise-grade software components required for fast delivery of productive ML models, increased process automation and accelerated adoption of MLOps best practices across the AI lifecycle.
• 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)

Must have:

• Bachelor’s Degree in Computer Science, Data Science, Software Engineering or related fields,
• Proficiency in Python and at least one other programming/scripting language (e.g. Java, SQL, Scala),
• Experience in DevOps practices and tools such as Jenkins, GitHub, XMake
• Experience with development tools such as Jupyter, Docker, Kubernetes, Terraform, Github
• Strong oral and written communication skills in English
• Good understanding of AI/ML concepts including Deep Learning, GenA, MLOps and AI lifecycle
• Basic understanding of a variety of Python libraries and Machine Learning frameworks such as Numpy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch
• General interest in applied machine learning to solve business problems.
• Working from Walldorf office is a must
• At least 3 semesters left for studies

Nice to have:

• Experience in Python backend development such as FastAPI, Postgres, OpenAPI
• Experience with MLOps tools (e.g., mlflow)
• Experience in writing tests for ML models
• Hyperscaler experience

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.