Senior AI Data Scientist / Data Engineer

Darum lohnt es sich

Your Tasks • Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions • Construct and refine (Gen)AI models, prompts, and related analytical components • Understand how (Gen)AI serves business needs and translate requirements into technically feasible, value-driven solutions • Guide data integration activities and ensure robust operational deployment of (Gen)AI pipelines • Ensure data quality, compliance, and risk control across data ingestion, transformation, model development and deployment workflows • Collaborate on the identification of capacity and skill requirements to support the broader AI roadmap • Support cross-functional teams in implementing scalable patterns, reusable components, and well-governed AI assets across the organization • Own data sourcing, transformations, and evaluation metrics for (Gen)AI workflows • Deliver high-quality agent logic and performance insights to improve (Gen)AI workflows Your Profile • Master’s degree in computer science, data engineering, mathematics or a related field • 5+ years of experience in data science and/or data engineering roles, including (Gen)AI-related work • Proficiency with data engineering / data tools and modern data architetures helpful • Strong experience in ML Models with corresponding frameworks (e.g. sklearn, ..) and how to test and monitor these • Experience with (Gen)AI, LLM frameworks (e.g.

Weiterbildung Wir stillen Deinen Wissensdurst – zum Beispiel mit Fortbildungen, fachspezifischen Seminaren oder einem berufsbegleitenden Studium.

LangChain) and methods (e.g., Transformers, RLHF, fine-tuning) • Strong programming skills (especially Python, SQL, and at least one additional language) • Experienced in using visualization / dashboard frameworks from Python univers (e.g. streamlit, plotly, bookeh) • Experience deploying (Gen)AI pipelines (prompt chains, embeddings, retrieval systems, vector databases) into production environments • Familiarity with cloud (Gen)AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) • Experience with analytics or visualization tools (e.g., Power BI, Tableau) Flexible Arbeitszeiten Gleitzeitregelungen und flexible Arbeitszeitmodelle ermöglichen eine perfekte Work-Life-Balance – ganz wie es zu Dir passt.

Gesundheitsmanagement Mit uns bleibst Du gesund – dank Präventionsmaßnahmen, einem breiten Sportangebot und verschiedenen Kooperationen. Mobiles Arbeiten Ob von zu Hause oder unterwegs – unser mobiles Arbeitsmodell (bis zu 60 % mobil) bietet Dir mehr Freiheit und Selbstständigkeit.