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ML​/LLM and Generative Artificial Intelligence; GenAI) specialist

Job in Lévis, Québec, Province de Québec, Canada
Listing for: Desjardins
Full Time, Seasonal/Temporary position
Listed on 2026-09-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 130000 CAD Yearly CAD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: ML/LLM and Generative Artificial Intelligence (GenAI) specialist
Location: Lévis

Temporary position for 12months, with possibility of extension.

Required

The Cybersecurity Monitoring Ecosystem Department is currently looking to add an ML/LLM and Generative AI specialist to the team responsible for the industrialization, governance and development of the organization’s AI capabilities. You’ll work in a modern cloud environment where the performance, security, compliance and governance of AI solutions are central to supporting our strategic business sectors. As an LM/LLM and GenAI specialist, you’ll contribute to the implementation, evolution and operation of the Security Office’s AI capabilities.

You’ll work in close collaboration with the AI Architect and data platform teams on the industrialization of GenAI solutions and the application of LLMOps practices to enable the reliable, secure and high-performance deployment of production models. As a key member of the LLMOps squad, your role consists in making sure the directions set by the AI Architect are fulfilled. You’ll help build and develop robust, secure and operational GenAI capabilities that reflect the organization’s strategic objectives, as set by the Security Office.

More specifically, you will be required to:

  • Develop, launch and maintain AI, GenAI and LLM solutions in accordance with Desjardins Group’s architectural standards and frameworks.
  • Implement the LLMOps practices necessary for automation, ongoing deployment, continuous integration and production model oversight.
  • Participate in the full life cycle of the models, including evaluation, deployment, performance monitoring, versioning, and continuous improvement.
  • Develop and integrate processing chains for language models, retrieval-augmented generation (RAG) mechanisms and inference services.
  • Contribute to optimizing the performance, resilience and operational efficiency of AI solutions released on the data platform.
  • Collaborate with the security, platform, data and architecture teams to ensure security, compliance and governance requirements are met.
  • Implement monitoring, observability and alert mechanisms to help track the quality, usage and stability of AI solutions.
  • Participate in the evaluation of cloud models, tools, and services in order to identify solutions that meet the needs of the Security Office.
  • Contribute to the continuous improvement of software development, automation and operational practices associated with the organization’s AI capabilities.
What we offer*
  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment
  • Benefits apply based on eligibility criteria.
What You Bring To The Table
  • Bachelor’s degree in computer science, software development or a related field
  • A minimum of six years of relevant experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Knowledge of French is required
  • Expertise in software development, Machine Learning or artificial intelligence
  • Advanced knowledge of Machine Learning concepts
  • Advanced knowledge of Large Language Models (LLM) and GenAI solutions
  • Advanced knowledge of Python and the main modern AI ecosystems
  • Mastery of Lang Chain, Semantic Kernel, Hugging Face, OpenAI, Azure OpenAI and other similar tech
  • Advanced proficiency with Databricks, MLflow, Azure Machine Learning or other AI industrialization platforms
  • Familiarity with the creation and implementation of RAG solutions, AI agents, chatbots and other similar services
  • Knowledge of model evaluation techniques, prompt engineering, context management and response quality improvement
  • Knowledge of…
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