Summary
✨ AI‑Generated
A senior AI data role combining data engineering, data science, and generative AI. You will build scalable data infrastructure, develop and refine AI models and prompts, integrate and transform data, deploy governed AI pipelines, define evaluation metrics, and improve agent workflows. The position involves translating business needs into technically feasible solutions while supporting scalable and reusable AI practices.
Highlights
Shape scalable data and analytics infrastructure for generative AI solutions while working across model development, prompt design, data integration, deployment, evaluation, and governance. The role offers broad ownership of AI workflows, opportunities to build reusable components, and cross-functional influence over an organization-wide AI roadmap.
Description
Your Tasks
Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutionsConstruct and refine (Gen)AI models, prompts, and related analytical componentsUnderstand how (Gen)AI serves business needs and translate requirements into technically feasible, value-driven solutionsGuide data integration activities and ensure robust operational deployment of (Gen)AI pipelinesEnsure data quality, compliance, and risk control across data ingestion, transformation, model development and deployment workflowsCollaborate on the identification of capacity and skill requirements to support the broader AI roadmapSupport cross-functional teams in implementing scalable patterns, reusable components, and well-governed AI assets across the organizationOwn data sourcing, transformations, and evaluation metrics for (Gen)AI workflowsDeliver 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 field5+ years of experience in data science and/or data engineering roles, including (Gen)AI-related workProficiency 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 theseExperience with (Gen)AI, LLM frameworks (e.g.
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 environmentsFamiliarity with cloud (Gen)AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI)Experience with analytics or visualization tools (e.g., Power BI, Tableau)
Flexible working hours
Flexitime arrangements and flexible working time models allow for a perfect work-life balance – however it suits you.
Health management
Stay healthy with us: thanks to preventive measures, a wide variety of sports and various partnerships.
Mobile working
Whether from home or on the road – our remote working model (up to 60 % mobile) offers you more freedom and independence.
Further training
We satisfy your thirst for knowledge – for example with further training, subject-specific seminars or work and study programmes.
