AI Data Scientist

As an AI Data Scientist you design and operationalize machine learning and Generative AI solutions supporting engineering product development and decision-making.Your tasksDesign, develop and validate machine learning, GenAI and analytics solutions across the development lifecycleSupport AI-assisted and agentic capabilities across requirements, coding, testing and vulnerability managementBuild prototypes and evaluation pipelines for LLM-based applications, RAG solutions and prediction modelsAcquire, clean and structure data from engineering toolchains, repositories and documentationDefine evaluation approaches, performance metrics and validation methods for AI modelsCreate reusable datasets, embeddings, feature stores, notebooks and pipelinesExplore emerging AI and data science techniques and assess applicability for engineering use casesWhat you bringBachelor's or Master's degree in Data Science, Computer Science, AI, Statistics, Mathematics or related fieldMinimum 5 years hands-on experience in data science, machine learning or AI engineeringGood understanding of data engineering foundations including pipelines, APIs, databases and versioningStrong practical experience with programming languages and data science/ML ecosystemsUnderstanding of software/firmware development lifecycles, DevSecOps and cybersecurity considerationsHands-on exposure to Generative AI, LLM applications, prompt engineering and retrieval-augmented generationFluent in EnglishConditionsWorkload: 80–100 %Work model: HybridOption of a permanent position after the assignment if both sides want itWhat to expectHybrid work model with 2-3 days per week of mobile workingMobility allowanceFurther training opportunities3–6 months interim, then a permanent positionTechnologiesLLMRAGGenAIMachine Learning