Lead AI/ML & MLOps Engineer executing projects from data foundations to model deployment. Collaborating with sales to drive AI/ML engagements for our clients.
About the role
- Director of MLOps shaping Canada’s AI transformation through advanced capabilities. Leading solutions for scalable AI deployments across segments while collaborating globally.
Responsibilities
- Define and architect MLOps capabilities and AI tools to support Canada’s cross-segment initiatives and ensure scalability and reuse
- Design solutions that enable model development, deployment, and monitoring across multiple use cases
- Establish best practices for model validation, performance monitoring, and lifecycle management
- Co-design solutions with global AI teams, IT, and data teams to align with enterprise standards and leverage shared platforms
- Drive R&D for advanced AI capabilities, ensuring integration with modern cloud-based platforms and data assets
- Act as the subject matter expert for MLOps, guiding teams on automation, CI/CD for ML, and operationalization of AI models
Requirements
- 8+ years of experience in Data Science, Machine Learning, or AI Engineering, with a strong focus on MLOps and solution architecture
- Proven track record in designing and implementing scalable ML pipelines and platforms in enterprise environments
- Expertise in model development, validation, and deployment using modern cloud technologies and MLOps frameworks
- Strong understanding of data assets, platforms, and advanced analytics concepts
- Ability to lead cross-functional initiatives and collaborate with global teams
- Excellent communication skills to influence technical and business stakeholders
- Master’s degree or equivalent experience in Computer Science, Data Science, Engineering, or related quantitative fields
Benefits
- health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
- adoption/surrogacy and wellness benefits
- employee/family assistance plans
- retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
- financial education and counseling resources
- generous paid time off program in Canada includes holidays, vacation, personal, and sick days
- full range of statutory leaves of absence
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Applied ML Engineer working on AI - driven insights at Kaseya. Collaborating with product teams to enhance features with machine learning and data analysis.
Adversarial Machine Learning Engineer conducting adversarial testing and simulations on LLM - driven AI systems for enterprise security. Collaborating with teams to validate and document findings.
MLOps Engineer managing infrastructure for large 2D and 3D media datasets at NBCUniversal. Responsible for automation, reproducibility, and performance of machine learning lifecycles.
Senior ML Engineer leading the strategic direction of machine learning infrastructure for global food delivery platform. Collaborating with Data Science team for seamless model deployment and innovation.
Machine Learning Intern/Co - op at Cohere working on developing and training models for AI applications. Join a team focused on advancing AI technology in an inclusive environment.
Machine Learning Engineer designing and deploying detection ML systems for social engineering defense platform at Doppel. Collaborating to mitigate evolving digital threats using AI.
Senior Software Developer responsible for designing and developing solutions in data engineering and machine learning. Collaborating with teams to deliver scalable software solutions with agile methodologies.
Senior ML Engineer responsible for designing and building ML pipelines for a Trust Scoring platform. Involves productionizing models and implementing MLOps best practices.
Principal Machine Learning Engineer designing the core ML systems for AI agents at Workday. Collaborating in cross - functional teams to integrate ML solutions into the platform.