AI/ML Developer

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. Top Skills 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, 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 Responsibilities 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. Mandatory Skills 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. Nice to Have Skills 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. 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. Strong verbal and written communication skills. Ability to work independently and collaboratively. Excellent time management and organizational skills. Reliability Status security clearance; minimum 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. #J-18808-Ljbffr