Senior AI Data Scientist / Data Engineer

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 Arbeitszeiten

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