13 hours ago
Copenhagen, DenmarkSenior
Responsibilities
- Work with development teams to use and improve the existing production knowledge graph.
- Translate product and business requirements into graph-based data solutions and extend schemas with architects.
- Develop graph-based machine learning models, including node embeddings, link prediction, and GNNs.
- Integrate knowledge graphs with AI and LLM-driven applications.
- Build solutions for semantic search, entity resolution, and recommendation systems.
- Build, maintain, and optimize high-performance APIs and production-grade graph-powered backend systems.
- Optimize processing and querying of large datasets and ensure consistent graph usage across applications.
- Identify graph intelligence opportunities for marketing technology, AI, semantic technologies, and AdTech applications.
- Support engineers through technical discussions, solution design, documentation, and usage guidelines.
Requirements
- Production experience working with existing knowledge graphs.
- Understanding of data modeling, entity relationships, and relationship-based data structures.
- Hands-on experience querying graph databases such as Neo4j or Amazon Neptune.
- Working knowledge of graph query languages such as Cypher or SPARQL.
- Practical familiarity with semantic data concepts such as RDF and OWL.
- General understanding of machine learning and interest in graph analytics or applied graph ML.
- Familiarity with NLP or large language models at the integration or usage level.
- Experience integrating data platforms and APIs across systems.
- Ability to write and optimize graph queries and contribute to scalable backend systems.
Benefits
- Hybrid Copenhagen work arrangement, with teams generally in the office around four days per week.
- Opportunity to work on WPP Open and large-scale AI and marketing technology solutions.
- Work alongside a global Data & Technology Solutions team of more than 2,000 people across 20 markets.
- Opportunity to influence projects at significant scale and work with creative, collaborative problem solvers.
- Inclusive culture focused on creativity, belonging, continuous learning, and career development.
Tech Stack
Neo4j
Categories
