Data Ops Engineer - AI & Automation (m/f/d)

## Your Job – Build tools and services based on foundation models to enhance the efficiency of Statista’s researchers and analysts in data research and modelling. – Develop autonomous AI agent networks that can take on the heavy-lifting for complex market forecasting – both quantitative and qualitative. – Design and deploy cloud infrastructure for hosting tools, AI Agents and API services. – Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation. – Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools. ## Your skills – You are comfortable in developing automation and AI tools in Python using for example libraries such as Fast API / Flask, G-Eval, Langchain, Sentence Transformers or Streamlit / Gradio – You have a good understanding and a great interest in the principles and basics of AI applications (RAG-context, prompt engineering, pros and cons of different foundation models, output evaluation) – Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git) – You have at least some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & EKS); Infrastructure-as-Code is a plus – You have excellent spoken and written English skills ## What we offer In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from: – Work from abroad 10 days a year (up to 30 if your family lives abroad) – Hybrid work and flex-time – International team and social events – Career & training opportunities – Attractive locations and modern offices – Mental health support with OpenUp