Data and Artificial Intelligence Advisor

Desjardins • Montreal, QC

9d • Hybrid

About The Position

The Data and Artificial Intelligence Advisor will join the SAS Platform and Data Valorization Department to support an initiative focused on governing SAS platforms in a modern cloud environment (Azure). This role involves implementing and updating tools and processes, deploying advanced tools, strengthening the AI governance framework, and building the team's AI capabilities. The advisor will utilize AI-informed approaches to govern a large IT ecosystem at scale and implement market best practices to ensure the robustness, traceability, and evolution of models.

Requirements

• Bachelor’s degree in computer science, software engineering, AI or another related discipline
• A minimum of six years of relevant experience in machine learning
• Significant experience in machine learning and developing AI models
• Proven experience deploying and operationalizing AI models in cloud environments, including Azure
• Strong command of AI and LLM frameworks and related practices (e.g., Hugging Face, LangChain, OpenAI API)
• Hands-on experience with MLOps/LLMOps tools and practices (e.g., MLflow, Azure Machine Learning, CI/CD pipelines)
• Strong programming expertise (Python required)
• Azure certification or proven ability to operate effectively in this ecosystem
• Knowledge of French is required
• Action oriented
• Business insight
• Complexity
• Customer Focus
• Differences
• Nimble learning

Nice To Haves

• Java
• Bash

Responsibilities

• Help define and implement AI-based tools to support SAS platform governance
• Provide oversight for analytics and artificial intelligence from a SAS governance perspective
• Work with the Artificial Intelligence Centre of Excellence to ensure compliance, responsible AI practices and governance across the data and analytical model lifecycle
• Assess and monitor model quality, bias and performance
• Advise and support business, analytics and IT teams
• Implement monitoring, audit and continuous improvement mechanisms
• Stay up to date on evolving practices, SAS capabilities and regulatory requirements
• Develop scripts and workflows to manage training data and prompts in the data lake
• Implement versioning, traceability and compliance mechanisms for models and their artifacts
• Work with data engineering teams to ensure our AI solutions are resilient and protect confidential information

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees