A Model Performance Engineer in the Department of National Defence plays a critical role in developing, testing, and optimizing artificial intelligence systems used across defence and security operations. You will work with machine learning models to ensure they perform reliably, efficiently, and safely in operational environments. Your expertise helps transform AI research into practical solutions that support Canadian Armed Forces personnel and defence decision-making.
Your day-to-day responsibilities include monitoring model performance metrics, conducting rigorous testing and validation, identifying performance bottlenecks, and recommending improvements to model architecture and deployment pipelines. You collaborate closely with data scientists, software engineers, and subject matter experts to understand operational requirements and translate them into technical specifications. You also document findings, maintain performance baselines, and ensure compliance with defence security standards.
You will work in a modern technical environment that blends research, engineering, and operational needs. This role offers opportunities to work on challenging problems with national security implications while being part of a growing AI community within DND. Whether working from a Defence establishment or in a hybrid arrangement, you will have access to state-of-the-art tools, computing resources, and a collaborative team committed to advancing Canadian defence capabilities.
Key Responsibilities
Contribute to artificial intelligence (ai) engineering & deployment projects and initiatives, Develop, test, and deploy AI/ML models and solutions, Analyze data to support evidence-based decision-making, Document technical approaches and ensure responsible AI practices
Required Skills
Python/R programming, Machine learning frameworks, Data analysis, Statistical modelling, Critical thinking, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
Education: A bachelor's degree in computer science, software engineering, mathematics, statistics, or a related discipline is typically required. Some positions may accept equivalent work experience combined with relevant coursework or certifications.
Key Competencies and Skills: You should have strong proficiency in programming languages commonly used in AI development (such as Python, C++, or Java), experience with machine learning frameworks and libraries, understanding of statistical analysis and performance metrics, and familiarity with version control and software development practices. Knowledge of cloud computing platforms and containerization tools (Docker, Kubernetes) is increasingly valuable.
Certifications and Professional Development: While not always mandatory for entry, professional certifications in data science, machine learning engineering, or cloud platforms (AWS, Azure, Google Cloud) can strengthen your candidacy. DND supports continuous learning through access to training programs, technical workshops, and professional development opportunities. Many employees pursue advanced certifications in specialized AI domains or obtain security clearances that enable access to advanced defence projects.
Security Clearance: Most positions require a valid security clearance. DND will support you in obtaining the appropriate level of clearance needed for your role.
Entry Plans
Public Service Recruitment: Most positions are filled through public competitions posted on the Government of Canada Job Bank. These competitions are open to Canadian citizens and permanent residents. You can create an account on the Job Bank to receive notifications when Model Performance Engineer positions become available within DND.
Talent Pools and Priority Hiring: DND occasionally maintains talent pools for AI and engineering roles. If you have recently competed in a federal competition for a similar role, you may be eligible for priority consideration under certain circumstances.
Student and Early Career Programs: The Government of Canada offers programs for recent graduates, including the Federal Student Work Experience Program (FSWEP) and the Post-Secondary Recruitment Campaign (PSRC). These programs provide pathways to permanent positions for those completing post-secondary education.
Lateral Moves and Internal Competitions: If you are already a federal public servant in a related technical role, you may compete for Model Performance Engineer positions through internal competitions or be considered for developmental opportunities within DND.
Consulting and Contract Work: Some individuals gain experience with DND through temporary contracts or consulting arrangements before transitioning to permanent positions.
Part-Time Options
Part-Time Work: Part-time employment opportunities for Model Performance Engineer positions are available but vary by project and operational need. Part-time arrangements are typically discussed during the recruitment process and may be accommodated depending on staffing requirements and business needs.
Flexible Work Arrangements: Many DND locations support flexible work arrangements, including compressed work weeks and flexible start times, subject to operational requirements and manager approval. The nature of AI engineering work—which often involves both collaborative projects and independent technical work—can support flexible scheduling.
Remote and Hybrid Options: Hybrid work models are increasingly common for technical roles at DND. Depending on the specific position, team requirements, and security considerations, you may have the opportunity to work remotely for part of the week while maintaining connection to your team and accessing secure facilities when needed. Full remote arrangements depend on the classification of the work and security protocols.
Work-Life Balance: DND is committed to supporting employee well-being through benefits including flexible leave options, health and wellness programs, and support for work-life balance. Discussion of flexible arrangements should occur with your manager and human resources representative.
Related Careers
No related military careers on file for this position.
