8 дней назад
Library Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Library Scientist (AI) (Taxonomy/Metadata): Building the information architecture, taxonomy, metadata model, and search foundations for Genesys Cloud AI knowledge surfacing with an accent on enterprise content analysis, semantic retrieval, and machine-readable content structure. Focus on designing production-ready taxonomies, testing AI retrieval quality, analysing search behaviour, and defining governance for accurate and attributable answers.
Location: Toronto, Canada
Company
is a global IT services and consulting company supporting digital transformation for enterprise and start-up clients across more than 25 countries.
What you will do
- Analyse the existing knowledge base, including content volume, ownership, age, duplication, structure, and tagging quality.
- Assess 100–200 pilot articles and produce scored findings, remediation profiles, and corpus-wide recommendations.
- Analyse search logs and user behaviour to identify zero-result queries, relevance issues, vocabulary gaps, and synonym requirements.
- Design a taxonomy, metadata model, content structure, and search configuration for Genesys Cloud AI retrieval.
- Validate taxonomy, tagging, faceted search, and AI answer quality during proofs of concept.
- Define content governance and transfer the model to the client’s content team through documentation and working sessions.
Requirements
- Master of Library and Information Science, an equivalent information science qualification, or comparable training.
- 5+ years of experience in taxonomy design, metadata modelling, information architecture, enterprise search, or related information science work.
- Experience delivering taxonomy and metadata models for production content environments.
- Practical experience analysing enterprise search behaviour, search logs, zero-result queries, and relevance failures.
- Knowledge of taxonomy and metadata standards including SKOS, Dublin Core, ISO 25964, and schema.org.
- Eligible to obtain and hold a Government of Canada security clearance.
Nice to have
- Experience with Genesys Cloud or comparable knowledge platforms such as Salesforce Knowledge, ServiceNow Knowledge Management, or Zendesk Guide.
- Experience preparing content for AI, retrieval-augmented generation, or virtual-agent consumption.
- Experience evaluating AI answer accuracy, attribution, and retrieval failure modes.
- Government, public sector, or academic library experience, including plain-language, WCAG, or records-management work.
- Bilingual English/French skills or experience with KCS methodology.
Culture & Benefits
- Full-time employment with a comprehensive compensation and benefits package.
- Health insurance, language courses, and a relocation program.
- Professional development through certifications, mentorship, talent investment, and internal mobility programs.
- Work with global clients in a multicultural and inclusive environment.
- Regular team-building events and social sustainability initiatives.
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