AI/ML Developer

Job Description

<p><h3>AI/ML Developer</h3>
<p>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.</p>
<h3>Top Skills</h3>
<ul>
<li>Master’s degree in Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics or related field.</li>
<li>Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.</li>
<li>Experience with supervised, unsupervised, and reinforcement learning models.</li>
<li>Expertise in NLP including tokenization, entity recognition, topic modeling, and semantic search.</li>
<li>Experience with knowledge graph construction and querying (RDF, SPARQL).</li>
<li>Familiarity with AI-based content rewriting and contradiction detection.</li>
<li>Experience with LLMs (e.g., GPT-4, Claude) for summarization and generation.</li>
<li>Use of FAISS or Pinecone for semantic search and clustering.</li>
<li>Experience with Azure Cognitive Services and DevOps pipelines.</li>
<li>Familiarity with DITA, XSLT, and document-as-code principles.</li>
<li>Ability to handle bilingual datasets and merge them into unified knowledge articles.</li>
<li>Understanding of responsible AI practices, including bias mitigation and explainability</li>
</ul>
<h3>Responsibilities</h3>
<ul>
<li>Develop and deploy AI/ML models for document classification, semantic search, and metadata optimization.</li>
<li>Implement NLP techniques for entity extraction, summarization, contradiction detection, and bilingual content alignment.</li>
<li>Build and query knowledge graphs using RDF, SPARQL, and ontology design.</li>
<li>Apply clustering algorithms and semantic similarity models to detect duplicates and contradictions.</li>
<li>Integrate AI frameworks with SharePoint Online, Copilot, and KM platforms.</li>
<li>Automate content rewriting and readability analysis using AI-based tools.</li>
<li>Collaborate with cross-functional teams to support iterative development and agile delivery.</li>
<li>Contribute to the design of scalable knowledge frameworks and topic architectures.</li>
</ul>
<h3>Mandatory Skills</h3>
<ul>
<li>Master’s degree in Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics or related field.</li>
<li>Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.</li>
<li>Experience with supervised, unsupervised, and reinforcement learning models.</li>
<li>Expertise in NLP including tokenization, entity recognition, topic modeling, and semantic search.</li>
<li>Experience with knowledge graph construction and querying (RDF, SPARQL).</li>
<li>Familiarity with AI-based content rewriting and contradiction detection.
</li><li>Experience with LLMs (e.g., GPT-4, Claude) for summarization and generation.</li>
<li>Use of FAISS or Pinecone for semantic search and clustering.</li>
<li>Experience with Azure Cognitive Services and DevOps pipelines.</li>
<li>Familiarity with DITA XML, XSLT, and document-as-code principles.</li>
<li>Ability to handle bilingual datasets and merge them into unified knowledge articles.</li>
>Understanding of responsible AI practices, including bias mitigation and explainability.
</ul>
<h3>Nice to Have Skills</h3>
<ul>
<li>Experience integrating linguistic resources like FrameNet for semantic enrichment.</li>
<li>Familiarity with CI/CD pipelines and Git for managing code and content workflows.</li>
<li>Exposure to tools like Power BI or Tableau for post-migration analytics.</li>
<li>Experience in public sector KM modernization or large-scale deployments.</li>
<li>Comfort with evolving technologies and shifting requirements.</li>
</ul>
<h3>General Requirements</h3>
<ul>
<li>Must reside in the Gatineau area in Quebec.</li>
<li>Hybrid work arrangement — onsite at least three days per week, with additional days as needed.</li>
<li>Strong verbal and written communication skills.</li>
<li>Ability to work independently and collaboratively.</li>
<li>Excellent time management and organizational skills.</li>
<li>Reliability Status security clearance; minimum years’ residency in Canada.</li>
<li>Commitment to staying current with emerging technologies and trends.</li>
<li>Experience working in multicultural or multilingual environments.</li>
<li>Familiarity with agile or modern project management methodologies.</li>
</ul></p>
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