Senior

Segment: HDI GlobalJob Location: HannoverRequisition ID: 487Standard Weekly Hours: 38.00Employee Type: Full/part timeDuration of employment: permanentContact: Christopher DenysiakStay healthy with us: thanks to preventive measures, a wide variety of sports and various partnerships.

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. 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 working hoursFlexitime arrangements and flexible working time models allow for a perfect work-life balance – however it suits you. Health managementStay healthy with us: thanks to preventive measures, a wide variety of sports and various partnerships. Mobile workingWhether from home or on the road – our remote working model (up to 60 % mobile) offers you more freedom and independence. Further trainingWe satisfy your thirst for knowledge – for example with further training, subject-specific seminars or work and study programmes.