Senior Machine Learning Engineer / Data Scientist (m/w/d)

Job description We are the Data & AI division of SCOS and develop AI solutions for all departments of our company. In addition, we advise departments on demanding make-or-buy decisions related to digitalization, automation using AI, and data strategies and governance. In #TeamSCOS, you will find an environment where you can contribute your own ideas, drive innovation, and support projects from concept to implementation. Let's take the future into our own hands together! #WhereExcellenceWorks Your tasks - AI development and productization: You design and develop scalable AI solutions, automated workflows, and intelligent agents and integrate them seamlessly into existing business processes. - Architecture on cloud platforms: Using state-of-the-art artificial intelligence methods, you build future-proof machine learning pipelines on our cloud infrastructure. - Technical leadership and inspiration: You lead demanding projects in the data science and ML field and act as a technical mentor and source of inspiration for the team. - Business use cases and workshops: In close coordination with the departments, you moderate workshops, identify use cases with high value-creation potential, and advise on strategic questions. - Management communication: You prepare complex business data and model results in a way that is tailored to the audience and visually appealing, and present them confidently at management level. Your profile - Education: Successfully completed degree in computer science, data science, mathematics, physics, or a comparable qualification. - Practical experience in the ML stack: Several years of well-founded professional experience in machine learning and the practical implementation in Python, with confident use of relevant frameworks such as scikit-learn, PyTorch, Keras, and Hugging Face. - AI models and integration: Proven experience in designing and deploying AI solutions (e.g., LLMs, agentic workflows, automation). - Spirit of innovation: A strong enthusiasm for future technologies and the drive to quickly bring new tools and paradigms into operational practice. - Soft skills and languages: Strong communication skills, confident presence in stakeholder management, and negotiation-level German as well as very good English skills, both written and spoken. Skills - Machine learning - Python - PyTorch - TensorFlow