AI/ML Developer

Fujitsu Canada is seeking a full-time, permanent AI/ML Developer to support enterprise-scale Knowledge Management (KM) modernization projects. This role emphasizes advanced AI, machine learning, and natural language processing capabilities to deliver intelligent, scalable, and semantically enriched KM solutions.

• Master's degree in Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics or related field.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
• Experience with supervised, unsupervised, and reinforcement learning models.
• Expertise in NLP including tokenization, entity recognition, topic modeling, and semantic search.
• Experience with knowledge graph construction and querying (RDF, SPARQL).
• Familiarity with AI-based content rewriting and contradiction detection.
• Experience with LLMs (e.g., GPT-4, Claude) for summarization and generation.
• Use of FAISS or Pinecone for semantic search and clustering.
• Experience with Azure Cognitive Services and DevOps pipelines.
• Familiarity with DITA XML, XSLT, and document-as-code principles.
• Ability to handle bilingual datasets and merge them into unified knowledge articles.
• Understanding of responsible AI practices, including bias mitigation and explainability

• Develop and deploy AI/ML models for document classification, semantic search, and metadata optimization.
• Implement NLP techniques for entity extraction, summarization, contradiction detection, and bilingual content alignment.
• Build and query knowledge graphs using RDF, SPARQL, and ontology design.
• Apply clustering algorithms and semantic similarity models to detect duplicates and contradictions.
• Integrate AI frameworks with SharePoint Online, Copilot, and KM platforms.
• Automate content rewriting and readability analysis using AI-based tools.
• Collaborate with cross-functional teams to support iterative development and agile delivery.
• Contribute to the design of scalable knowledge frameworks and topic architectures.

• Master's degree in Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics or related field.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.
• Experience with supervised, unsupervised, and reinforcement learning models.
• Expertise in NLP including tokenization, entity recognition, topic modeling, and semantic search.
• Experience with knowledge graph construction and querying (RDF, SPARQL).
• Familiarity with AI-based content rewriting and contradiction detection.
• Experience with LLMs (e.g., GPT-4, Claude) for summarization and generation.
• Use of FAISS or Pinecone for semantic search and clustering.
• Experience with Azure Cognitive Services and DevOps pipelines.
• Familiarity with DITA XML, XSLT, and document-as-code principles.
• Ability to handle bilingual datasets and merge them into unified knowledge articles.
• Understanding of responsible AI practices, including bias mitigation and explainability.

• Experience integrating linguistic resources like FrameNet for semantic enrichment.
• Familiarity with CI/CD pipelines and Git for managing code and content workflows.
• Exposure to tools like Power BI or Tableau for post-migration analytics.
• Experience in public sector KM modernization or large-scale deployments.
• Comfort with evolving technologies and shifting requirements.

• Must reside in the Gatineau area in Quebec.
• Hybrid work arrangement — onsite at least three days per week, with additional days as needed.
• Strong verbal and written communication skills.
• Ability to work independently and collaboratively.
• Excellent time management and organizational skills.
• Reliability Status security clearance; minimum five years' residency in Canada.
• Commitment to staying current with emerging technologies and trends.
• Experience working in multicultural or multilingual environments.
• Familiarity with agile or modern project management methodologies.