Data Scientist / AI Engineer, All Levels

• Develop modern AI solutions based on Large Language Models and traditional machine-learning methods
• Identify and assess AI opportunities in close collaboration with clients
• Evaluate technical feasibility and business value
• Develop LLM-based applications, such as RAG systems, agents, automation solutions, and chat and assistant systems
• Implement machine-learning models across the entire lifecycle: data preparation, feature engineering, modeling, evaluation, and deployment
• Build scalable data and AI pipelines in cloud environments
• Collaborate with Data Engineering and business stakeholders to develop business-relevant AI solutions
• Create prototypes, proofs of concept, and production implementations
• Further develop the AI and Data Science service offering
• Evaluate new methods and technologies

• Experience developing solutions with Large Language Models, such as prompt engineering, RAG, fine-tuning, and evaluation
• Proficiency in SQL, Python, and common ML/AI frameworks, such as scikit-learn, PyTorch, Transformers, and LangChain
• Strong knowledge of traditional machine-learning methods and statistics
• Experience with data preparation and with structured and unstructured data
• Understanding of modern cloud architectures on Azure, AWS, or GCP
• Initial experience in MLOps is a plus
• Ability to analyze use cases systematically, assess business value, and communicate technical solutions clearly
• Strong willingness to learn, with an interest in innovation and current developments in the AI landscape
• Confident communication with clients in German and English

• Attractive compensation
• Modern hardware and equipment
• Flexible working hours
• Work-from-home opportunities
• Choice of workplace: work from our offices in Hamburg/St. Pauli or Munich/Altstadt, or from another location that supports your productivity
• Flat hierarchies and an open feedback culture
• Individual internal and external training, certifications, and conferences
• Team events
• Sabbatical options
• Fitness membership subsidy
• Bike leasing
• Healthy snacks and fresh fruit
• Relaxed after-work culture