Engineer service - Veldhoven, Nederland - Yacht Freelance

Beschrijving

Context The Knowledge Management (KM) Capability sits at the intersection of enterprise platform service design, semantic data engineering, and taxonomy governance for the organization.

The team operates in a multi-faceted role, which includes performing complex data analysis to improve knowledge representation and consumption of unstructured data in systems, develop data transformation pipelines that join multiple data sets in the ASML knowledge graph, and collaborating across the organization to help define the customer experience for knowledge discovery and access on the Progress Semaphore platform.

Members of the KM team own the end-to-end development of knowledge graph features for ASML recommendation engines, data, and content domains, using both industry standards and proprietary technical tools.

As a Semantic/Knowledge Engineer on the KM team, you will contribute to projects focusing on the design, creation, and deployment of knowledge models that translate business needs and domain expertise into machine actionable platform level services.

Co-Designing the Enterprise Taxonomy in partnership with Learning & Knowledge Management department and several IT Teams
Oversight of ASML's metadata assets, primarily taxonomy, ontology, and content data
Working with internal teams to guide the development and usage of knowledge structures that enable actionable information to data consumers and applications
Supporting current and establishing new ETL processing rules and data workflows to support and grow current infrastructure

Collaborating with Product, Software Development and Content teams to support current and future API integrations for semantically enabled applications, including recommendation functionality.

Experience with developing and deploying controlled vocabularies, taxonomies, ontologies, or knowledge graphs within cloud-based architectures
Knowledge/experience with some knowledge technologies like knowledge graphs, graph databases, text mining, NLP, ontology engineering, machine learning
Ability to use graph technology such as RDF triple stores to support enterprise level data solutions
Knowledge of designing and validating metadata models and frameworks for varied data and content types
Expertise in text analytics and data analysis specifically related to unstructured data
Experience working with content and domain experts to gather requirements