Machine learning engineer Jobs in Laval, QC

AI & Machine Learning Engineer, AI Enablement Program -0005PU

Posting Date:

Apr 13, 2026, 6:05:36 PM

Primary Location:

Ontario-Ottawa

Job Type:

Permanent

Schedule:

Full-time

Description

Application deadline: April 27th, 2026

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, AI Enablement Program

Employment Type: Permanent #LI-Hybrid

Compensation Details:

·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 in a hybrid work environment, with a current requirement of twoin-office days per week, increasing to three days per week in September 2026 (subject to change).

·This role can be performed from EDC’s headquarters in Ottawa or from one of our Community Hubs located in Toronto, Mississauga, Montreal, Brossard, or Laval.

·Relocation assistance is available for candidates who meet the eligibility criteria.

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:

oDefine, execute, and sustain the integrated technology target state, target data model and technology operations required to enable EDC’s 2030 business transformation.

oEstablish 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.

oKeep 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.

oLead 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, not just built in silos.

• Work on enterprise‑grade, production AI products, not experiments.

• Lead the transition from project-based to product-based AI delivery, establishing reusable capabilities that generate sustained value across the enterprise.

• Influence strategy, governance, and delivery at a national institution with real economic impact.

• Build and manage EDC's growing AI capability and product portfolio, bringing visibility and strategic oversight to AI solutions across their full lifecycle.

• Be part of a foundational team defining how AI is delivered, governed, and sustained at EDC.

The AI & Machine Learning Engineer is a hands‑on technical practitioner responsible for operationalizing machine learning and generative AI systems by translating experimental work into secure, scalable, and reliable production solutions.

This role operates at the intersection of AI/ML engineering, platform operations, and governance, with accountability for:

• Engineering production‑ready pipelines for training, validation, versioning, and deployment of ML and GenAI solutions

• Owning end‑to‑end model lifecycle management (MLOps / LLMOps / AgentOps / DevOps), including monitoring, retraining, rollback, and retirement

• Ensuring AI solutions meet platform standards, security requirements, and Responsible AI expectations

• Partnering with business SMEs, data scientists, architects, and platform teams to transition models from experimentation to production

Unlike traditional software or data engineering roles, this position focuses on AI operations, requiring you to:

• Deploy and operate batch, real‑time, and event‑driven inference solutions using approved enterprise patterns

• Automate model promotion and environment transitions through CI/CD practices

• Monitor model performance, data drift, bias indicators, and operational health

• Lead remediation actions when AI systems degrade, fail, or fall out of compliance

This role blends:

• ML and GenAI engineering (model deployment, RAG, agentic patterns)

• Platform and infrastructure expertise (cloud‑native AI platforms, containerization, integration)

• DevOps and automation (CI/CD pipelines, Infrastructure as Code, monitoring and alerting)

• Security and governance fluency (Responsible AI, privacy, audit and risk‑based controls)

Impact in this role is driven by technical execution, engineering judgment, and operational excellence, rather than formal authority. The reliability, safety, and scalability of your systems—and how effectively you collaborate across disciplines—are the primary measures of success.

What you will be doing:

• Engineer and deploy production‑grade ML and GenAI solutions, including batch, real‑time, and event‑driven inference patterns, using standardized enterprise deployment models.

• Own the full AI system lifecycle (MLOps / LLMOps / AgentOps), including versioning, monitoring, retraining, scaling, rollback, and retirement of production models.

• Operationalize GenAI applications (RAG‑based and agentic patterns), embedding evaluation, guardrails, and cost awareness as core design principles.

• Embed security, governance, and Responsible AI controls by design, ensuring compliance with platform standards, ProtectedB requirements, auditability, and risk‑based controls.

• Automate AI delivery and operations through CI/CD pipelines, Infrastructure as Code, and standardized environment promotion across experimentation, staging, and production.

• Monitor, diagnose, and remediate AI system health, including performance degradation, data and model drift, bias indicators, cost anomalies, and production incidents within defined SLAs.

• Design and maintain reusable ML assets, including feature pipelines, shared components, deployment patterns, and evaluation frameworks to strengthen organizational AI maturity.

• Collaborate with data scientists, architects, platform, and security teams to transition models from research to scalable, reliable production services.

• Apply strong engineering judgment to balance performance, scalability, cost, security, and risk in enterprise AI systems operating at scale.

What we are looking for:

• University degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical discipline, or an equivalent combination of education and experience.

• 5+ years of experience in software, data, or ML engineering roles delivering production systems in enterprise environments.

• 4+ years designing or contributing to large‑scale data platforms, supporting batch and real‑time workloads.

• 4+ years of hands‑on experience building and operating ML or AI systems in production, including monitoring, retraining, and incident response.

• 3+ years of experience working with cloud platforms (Azure preferred), including deployment, automation, networking, and security services.

• 3+ years of applied experience with GenAI or advanced AI concepts, including LLMs, RAG‑based architectures, or agentic/workflow‑oriented patterns in a production context.

• 3+ years implementing CI/CD pipelines and Infrastructure as Code for ML/AI workloads.

• 5+ years developing production‑grade code using Python and data‑centric languages (e.g., SQL, Java, Scala).

• 4+ years operating within formal IT service management and Agile delivery environments, including incident/change management and cross‑functional delivery.

What will make you stand out:

Advanced Training & Credentials:

• Advanced education such as a Master’s degree in Artificial Intelligence, Data Science, Computer Science, Engineering, or a closely related field.

• Relevant industry certifications, such as Azure AI Engineer Associate, Azure Solutions Architect Expert, Azure Administrator, Azure DevOps, Azure Security, cloud security (e.g., CCSP), and/or Agile certifications (e.g., DASM).

Platform, GenAI, and MLOps Experience

• Hands‑on experience with enterprise ML/AI platforms (e.g., Databricks), including model lifecycle management and Git‑based development workflows.

• Demonstrated delivery of production GenAI solutions, including RAG‑based and/or agentic patterns with embedded evaluation and guardrails.

• Experience implementing model and LLM evaluation, telemetry, and feedback loops to support safe and reliable AI operations.

• Experience deploying containerized AI workloads and operating scalable cloud‑based infrastructure.

Security, Governance, and Responsible AI:

• Familiarity with industry AI security, governance, and risk frameworks and how they are applied, including concepts aligned to the Databricks AI Security Framework (DASF) and recognized standards and guidance such as:

oMITRE ATLAS (AI threat landscape) & MITRE ATT&CK

oOWASP LLM Top 10 (2025) and OWASP ML Top 10 (v0.3)

oISO/IEC 42001:2023 (AI Management Systems), ISO/IEC 27001:2022 (Information Security)

oNIST SP 800‑53 Rev. 5, HITRUST, ENISA Securing ML Algorithms, and the EU AI Act

oCAN/DGSI 101:2025 (Ethical Design and Use of AI by Small & Medium Organizations)

Professional Collaboration and Communication Effectiveness:

• Experience working with external vendors in managed‑service or enterprise delivery environments.

• Demonstrated ability to collaborate across multidisciplinary teams, communicate complex technical concepts clearly, and operate effectively in complex technical environments.

• Bilingual in both official languages (French and English).

Eligibility:

EDC is committed to Fair Employment Practices and preference will be given to a candidate who is able to work legally in Canada at the time of application (Canadian Citizens or Permanent Residents). Candidates must meet the requisite government security screening requirements. The position is open to those who meet all of the essential requirements stated above and whose applications are received by the closing date.

Ready to make a difference? This is your chance to join a dynamic, growing team and leave your mark on our organization, development finance, and the world.

Apply today!

Want to learn more about EDC? Check our website here

EDC's Commitment to Employment Equity

Export Development Canada (EDC) is dedicated to fostering employment equity and building a diverse workforce. We are committed to creating a safe and inclusive environment that respects people from all cultures, backgrounds, and abilities. At EDC, we nurture a culture of inclusion and belonging where everyone has equal opportunity to grow, develop, succeed, and be their truest selves.

We actively encourage applications from women, Indigenous peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQI+ community.

Your application must clearly demonstrate how you meet all the requirements. We thank all applicants' interest in a career at EDC; however, only those selected for an interview will be contacted. Please note that qualified candidates may be considered for similar roles at this level within EDC.

EDC recognizes that disclosing the need for accommodations can be a personal matter. Please know that as an organization, we are committed to maintaining confidentiality and ensuring that any accommodations provided are tailored to support your needs. Our aim is to ensure you have a comfortable and positive experience throughout the recruitment process, so please do not hesitate to contact us directly for any accommodation requests at . We are here to support you every step of the way.

Apr 28, 2026, 3:59:00 AMIf selected for an interview, please advise us if you require special accommodation.Candidates must meet the requisite government security screening requirements.