Your problem-solving mindset creates real business value. This is your role.

You will be part of an international team of data scientists and machine learning engineers with diverse backgrounds, utilizing AI and data analytics methods to accelerate Siemens internal digitalization.
As an NLP expert, you will play a vital role in driving pragmatic approaches to solve complex business problems by leveraging your machine learning and NLP expertise.
You will interact regularly with internal customers across Siemens, serving as project lead and assisting them in making strategic business decisions.
You will support the full application lifecycle, from ideation workshops to successful prototypes and enterprise-ready applications.
You will design and implement ready-for-production MLOps pipelines in Generative AI, ensuring top-quality results.
You perform systematic qualitative and quantitative evaluation of the ML algorithms as well as establish software performance monitoring.
As a partner of diverse groups within Siemens, including business, technology, information security, finance, risk, law, and compliance, you will play a critical role in cross-functional collaboration.

Use Your Skills To Move The World Forward.

You have 3-5 years of professional experience (diverse backgrounds welcome, e.g., industry, consultancy, academia etc.) and a strong academic background (degree in Data Science, Computer Science, Computational Linguistics, Mathematics, Statistics, Physics, or a comparable field of study).
You are proficient in handling large amounts of data using various tools – all programming languages welcome. Python is a plus.
You have proven knowledge of NLP techniques and the current state-of-the-art in conversational AI or previous practical experience with NLP / Generative AI projects.
You have experience with PyTorch, Deep Learning approaches (NLP related DL preferred but not a must).
Knowledge in training and fine-tuning of DL models (e.g transformer-based LLMs) and training optimization frameworks (e.g. PEFT).
You have already gained insights into cloud solution architecture, software development & engineering and have knowledge in GitLab and CI/CD.
You have experience with cloud infrastructures and their tools for Machine Learning and NLP related tasks (e.g., Azure, AWS, etc.) and on how to deploy, monitor and improve ML applications in production.
Excellent technical understanding and software modeling skills combined with strategic thinking and clear customer-oriented communication form part of your profile.
You are fluent in English; German or any additional languages are a plus.