Application deadline: September 4, 2026 12:00PM ET
Join the EDC Team!
At EDC, we support Canadian businesses to succeed globally. We provide the financial tools and expertise they need to explore new markets, reduce risks, all towards the goal of making Canada and the world better through trade.
Position: AI Machine Learning Engineer, Level 17 or 18
Employment Type: Permanent
Compensation Details:
• Machine Learning Engineer 17: Salaries typically range from $84,698 to $112,931 annually, based on qualifications and experiences, plus a performance-based incentive.
• Machine Learning Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Location:
• Export Development Canada operates under a hybrid work model, with employees currently required to work from the office two days per week. Effective September 2026, this requirement will increase to three days per week and will be implemented gradually through a phased approach based on employee location. (subject to change) .
• This role can be performed from EDC’s headquarters in Ottawa or from one of our Community Hubs located in Toronto or Montreal.
• Relocation assistance is available for candidates who meet the eligibility criteria.
Internal Employees, please consult the ServiceNow article entitled Internal movements – what you need to know.
About EDC:
At Export Development Canada (EDC), we empower Canadian businesses to succeed globally. As a financial Crown corporation, we offer innovative financial solutions and expert insights to help businesses explore new markets, mitigate risks, and achieve growth.
Why Join EDC?
• Comprehensive Benefits: EDC offers a competitive compensation & benefits package, work-life balance, & the opportunity to help make Canada and the world better through trade.
• Work-Life Balance: EDC offers a competitive compensation package & work-life balance. We have hybrid work options, 3 to 4 weeks paid vacation, a corporate closure period, summer early Friday’s & no meeting Fridays.
• Professional Development: Take advantage of our continuous learning opportunities, including training programs, workshops and language training.
• Inclusive Culture: Be part of a diverse and inclusive workplace that champions employment equity & values diversity of ideas, strengths, & backgrounds to succeed.
• Wellness Programs: Access to wellness initiatives, mental health support, and fitness programs to keep you healthy and happy.
• Community Engagement: Participate in volunteer opportunities and give back to the community through our various social responsibility programs.
Team Overview:
The Digital & Technology Solutions (DTS) group under the leadership of the Chief Information Officer was established in 2023 with the mission of empowering our customers and colleagues to take on the world, by seamlessly delivering secure and reliable digital experiences. Digital & Technology Solutions has set out to achieve the following objectives for EDC:
• Define, execute, and sustain the integrated technology target state, target data model and technology operations required to enable EDC’s 2030 business transformation.
• Establish and manage the rolling 3 Year Digital Roadmap that sequences the technology outcomes required to achieve the technology target state and facilitate its execution across all domains in the organization.
• Keep pace with industry trends and emerging technologies, ensuring EDC has access to the digital technology tools it needs to stay relevant in the market and grow Canadian global trade.
• Lead and ensure integrated digital, data, infrastructure, and cybersecurity implementations to create excellent customer, user, and employee experiences.
Why Join the AI Centre of Enablement?
• Help shape how AI is responsibly scaled across EDC through enterprise-grade AI and machine learning solutions.
• Work on production AI products with real business impact, not experimental projects.
• Influence AI strategy, governance, and delivery at a national institution.
• Collaborate with business SMEs, data scientists, architects, and platform teams to move AI solutions from experimentation to production.
• Work across AI/ML engineering, MLOps, cloud platforms, DevOps, and Responsible AI practices.
• Contribute to model deployment, CI/CD automation, observability, monitoring, and governance in a modern AI environment.
• If selected for Level 17, the role builds, deploys, and supports production AI and machine learning solutions while working closely with senior engineers and architects. This role offers meaningful production responsibility and the opportunity to develop expertise across the full AI lifecycle, with a clear growth path toward the ownership, leadership, and strategic scope expected at Level 18.
• If selected for Level 18, the role takes ownership of the end-to-end AI lifecycle, from production engineering and platform operations to governance, scalability, and ongoing optimization. As a senior engineer, you will help shape enterprise AI standards, lead the transition to product-based AI delivery, and drive the reliability, security, and compliance of production AI systems while influencing how AI is delivered across EDC.
How do we Build AI at EDC?
At EDC, AI solutions are built and operated using standardized, enterprise-grade engineering practices designed to ensure reliability, security, scalability, and responsible use. All production AI systems follow governed design patterns, rigorous evaluation and observability requirements, documented architecture decisions, secure-by-design data handling practices, and structured promotion processes for models and prompts. While these standards apply at both levels, Level 18 engineers are expected to help shape and strengthen these practices, whereas Level 17 engineers apply them under guidance while building toward greater ownership and accountability.
What you will be doin