Top Benefits
Hybrid work arrangement
About the role
Fujitsu Canada is seeking a full-time, permanent Data Scientist to support enterprise-scale Knowledge Management (KM) modernization projects for Employment and Social Development Canada (ESDC). This role focuses on AI/ML/NLP-driven transformation, semantic enrichment, and intelligent content migration aligned with federal compliance and innovation standards.
Top Skills
- Master’s degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
- Experience with semantic search, topic modeling, entity recognition, and contradiction detection.
- Familiarity with RDF, SPARQL, and ontology design for knowledge graph development.
- Experience with Azure DevOps, Git, and CI/CD pipelines for managing AI workflows.
- Knowledge of DITA XML, XSLT, and Document-as-Code principles.
- Understanding of responsible AI practices including bias mitigation and explainability.
Responsibilities
- Apply AI/ML/NLP techniques to support semantic search, contradiction detection, and content enrichment.
- Design and implement knowledge graphs and ontology models for scalable KM frameworks.
- Develop and deploy supervised and unsupervised learning models for metadata validation and document classification.
- Integrate Azure Cognitive Services and other AI tools for automated tagging, summarization, and quality assurance.
- Collaborate with architects, linguists, and content authors to ensure semantic consistency and accuracy.
- Support bilingual dataset processing and merging into unified knowledge articles.
- Contribute to iterative development cycles, rapid prototyping, and continuous integration.
- Participate in the design of scalable, API-accessible KM ecosystems using DevOps practices.
Mandatory Skills
- Master’s degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
- Experience with semantic search, topic modeling, entity recognition, and contradiction detection.
- Familiarity with RDF, SPARQL, and ontology design for knowledge graph development.
- Experience with Azure DevOps, Git, and CI/CD pipelines for managing AI workflows.
- Knowledge of DITA XML, XSLT, and Document-as-Code principles.
- Understanding of responsible AI practices including bias mitigation and explainability.
Nice to Have Skills
- Experience with FAISS, Pinecone, or similar tools for semantic clustering and search.
- Familiarity with FrameNet and other linguistic resources for semantic enrichment.
- Exposure to LLMs (e.g., GPT-4, Claude) for content rewriting and summarization.
- Experience with post-migration analytics using Power BI, Tableau, or Quicksight.
- Prior work in regulated or public sector environments leveraging AI for KM modernization.
General Requirements
- Must reside in the Gatineau area in Quebec.
- Hybrid work arrangement — onsite at least three days per week, with additional days as needed.
- Eligibility for Reliability Status security clearance; minimum five years’ residency in Canada.
- Strong organizational, communication, and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Commitment to quality, continuous learning, and emerging technologies.
Top Benefits
Hybrid work arrangement
About the role
Fujitsu Canada is seeking a full-time, permanent Data Scientist to support enterprise-scale Knowledge Management (KM) modernization projects for Employment and Social Development Canada (ESDC). This role focuses on AI/ML/NLP-driven transformation, semantic enrichment, and intelligent content migration aligned with federal compliance and innovation standards.
Top Skills
- Master’s degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
- Experience with semantic search, topic modeling, entity recognition, and contradiction detection.
- Familiarity with RDF, SPARQL, and ontology design for knowledge graph development.
- Experience with Azure DevOps, Git, and CI/CD pipelines for managing AI workflows.
- Knowledge of DITA XML, XSLT, and Document-as-Code principles.
- Understanding of responsible AI practices including bias mitigation and explainability.
Responsibilities
- Apply AI/ML/NLP techniques to support semantic search, contradiction detection, and content enrichment.
- Design and implement knowledge graphs and ontology models for scalable KM frameworks.
- Develop and deploy supervised and unsupervised learning models for metadata validation and document classification.
- Integrate Azure Cognitive Services and other AI tools for automated tagging, summarization, and quality assurance.
- Collaborate with architects, linguists, and content authors to ensure semantic consistency and accuracy.
- Support bilingual dataset processing and merging into unified knowledge articles.
- Contribute to iterative development cycles, rapid prototyping, and continuous integration.
- Participate in the design of scalable, API-accessible KM ecosystems using DevOps practices.
Mandatory Skills
- Master’s degree in Data Science, Artificial Intelligence, Machine Learning, or Computational Linguistics.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
- Experience with semantic search, topic modeling, entity recognition, and contradiction detection.
- Familiarity with RDF, SPARQL, and ontology design for knowledge graph development.
- Experience with Azure DevOps, Git, and CI/CD pipelines for managing AI workflows.
- Knowledge of DITA XML, XSLT, and Document-as-Code principles.
- Understanding of responsible AI practices including bias mitigation and explainability.
Nice to Have Skills
- Experience with FAISS, Pinecone, or similar tools for semantic clustering and search.
- Familiarity with FrameNet and other linguistic resources for semantic enrichment.
- Exposure to LLMs (e.g., GPT-4, Claude) for content rewriting and summarization.
- Experience with post-migration analytics using Power BI, Tableau, or Quicksight.
- Prior work in regulated or public sector environments leveraging AI for KM modernization.
General Requirements
- Must reside in the Gatineau area in Quebec.
- Hybrid work arrangement — onsite at least three days per week, with additional days as needed.
- Eligibility for Reliability Status security clearance; minimum five years’ residency in Canada.
- Strong organizational, communication, and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Commitment to quality, continuous learning, and emerging technologies.