adorsys

Engineer

• Development, operation and continuous further development of enterprise-wide knowledge graphs
• Design and implementation of ontologies in the domains of tax, law and finance
• Development of knowledge-graph-driven applications and services
• Integration and transformation of existing data silos into semantic data models
• Development and establishment of quality assurance and validation methods as well as modeling guidelines, best practices and documentation for ontologies and knowledge graphs
• Monitoring and optimization of query performance and system stability
• Advancing company-wide information management through knowledge-graph technologies
• Connecting knowledge graphs to AI- and LLM-based systems to support intelligent applications
• Close collaboration within a team of Data Scientists, Data Architects and MLOps engineers

Knowledge Engineer