Semantic Engineer

Job Title: Semantic Technologies Engineer

My client a leader in their field are pioneers in the world of semantic technologies, helping businesses unlock the value of their data by building knowledge graphs, ontologies, and AI-powered solutions. Our mission is to enable smarter, data-driven decision-making through cutting-edge semantic engineering.

My client are looking for a Semantic Technologies Engineer to join their dynamic team and help design, develop, and scale the systems that power our advanced knowledge-driven products.

What You'll Do

• Develop Knowledge Graphs & Ontologies: Build and maintain semantic models to represent complex data relationships effectively.
• Engineer Semantic Solutions: Use Python and graph database technologies to design and implement scalable solutions for data integration, querying, and analytics.
• Optimize Semantic Systems: Enhance the performance of semantic queries and ensure efficiency for handling large-scale datasets.
• Collaborate Across Teams: Work closely with data scientists, AI specialists, and product developers to align semantic technologies with business needs.
• Drive Innovation: Stay ahead of trends in semantic web standards, graph databases, and AI-powered knowledge management to bring forward-thinking solutions to the team.

What We're Looking For

• Proven Python Expertise: Strong experience in Python for data manipulation and semantic tools, with libraries like RDFLib, NetworkX, or Pandas.
• Graph Database Knowledge: Hands-on experience with Neo4j, GraphDB, or similar technologies, including writing and optimizing SPARQL queries.
• Ontology Management: Practical experience in developing ontologies using RDF, OWL, or SKOS.
• Semantic Web Standards: Solid understanding of W3C standards like RDF, OWL, and linked data principles.
• Engineering Skills: Strong foundation in algorithms, data structures, and software design principles.

Bonus Skills (Nice to Have)

• Familiarity with RESTful API development and integration.
• Knowledge of ETL processes and transforming unstructured data into structured formats.
• Experience with machine learning frameworks or knowledge graph embeddings.
• Proficiency in Agile development and version control systems like Git.

What's in It for You?

• Work on groundbreaking projects using semantic technologies and AI.
• Collaborate with a team of innovators in a supportive and forward-thinking environment.
• Enjoy flexibility, professional growth opportunities, and a positive work-life balance

If you are a semantic technologies engineer looking for a new opportunity, please do get in touch ASAP for a confidential discussion.