AI/ML Developer
Fujitsu
Ottawa
Job Description
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.
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How to Apply
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