Limited employment up to 6 months (f/m/d) - Associate Data Scientist for Machine Translation

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.      What you'll build

You will prepare data for machine translation, including data collection, cleaning, quality assurance, and automated data pipelines. You will adapt and evaluate open-source NLP tools and LLM frameworks (e.g., HuggingFace Transformers, vLLM) for use in SAP scenarios, including deployment in cloud- or cluster-based environments. You will develop and evaluate LLM-as-a-Judge metrics for translation evaluation as part of a focused research initiative. You will contribute to the productionization of NLP prototypes, taking models from experimental stages to deployment on internal platforms such as SAP AI Core. You will work with CI/CD tools such as Jenkins and Docker to build reproducible workflows for data processing, model training, and evaluation. You will collaborate on dashboards and monitoring solutions to track translation quality and model performance over time. You will have the opportunity to work on research-oriented tasks while integrating your results into larger engineering workflows.

What you bring

University graduate (f/m/d) with a Bachelor’s degree in Computer Science, Computational Linguistics, Artificial Intelligence, Natural Language Processing, or a related field. A background in one or more of these areas is preferred. Strong programming skills in Python (Java is a plus); experience with Linux environments and shell scripting is beneficial. You bring hands-on experience with Natural Language Processing, ideally in both academic and applied settings. Ideally, you have: o    Knowledge of machine translation, large language models, and machine learning in general. o    Practical experience with large language models (e.g., using commercial APIs such as OpenAI, Anthropic, or Google, or fine-tuning open-weight models such as Llama). o    Familiarity with NLP tools and frameworks such as HuggingFace Transformers, Stanford CoreNLP/stanza, Apache UIMA. o    Previous work experience involving software development tasks—ideally in an industry or applied research setting—is highly beneficial. o    Excellent written and verbal communication skills in English; German is a plus.

Where you belong   With a focus on putting business outcomes and value realization at the center of a company's journey, SAP's Enterprise Adoption team enables users to achieve critical business outcomes and empowers customers to succeed globally and locally with a laser focus on increased resiliency, performance, and sustainability.  The Language Experience Machine Translation team develops and operates various language technology components to offer AI-driven automatic translation capabilities across SAP and to customers and partners via the SAP Translation Hub.  We are looking for an enthusiastic, innovative, junior Data Scientist who is passionate about technology, fascinated by its unlimited possibilities and can join us in our journey to help every customer to become a best-run business.  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. This is a SAP global, strategic, paid, limited placement that