As a Model Optimization Analyst with the Department of National Defence, you will play a crucial role in advancing artificial intelligence capabilities that support defence and security operations. You will work with complex machine learning models, analyzing their performance and identifying opportunities to improve accuracy, efficiency, and reliability. Your work directly contributes to the development of AI solutions that help protect Canada and its citizens.
In this role, you will be responsible for evaluating model performance across various metrics, conducting statistical analysis, and recommending optimization strategies. You will collaborate with AI researchers, software developers, and subject matter experts to understand model requirements and constraints. Your day-to-day work includes testing different algorithmic approaches, documenting findings, and presenting technical recommendations to both technical and non-technical stakeholders.
You will work in a modern, collaborative environment within DND's AI research and development facilities. This position offers exposure to cutting-edge defence technology, access to specialized computing resources, and the opportunity to contribute to projects with real national security impact. You may work in-person at DND locations, with flexibility for remote work depending on project requirements and security protocols.
Key Responsibilities
Contribute to artificial intelligence (ai) research & modeling 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 a related field is typically required. Relevant disciplines include computer science, data science, mathematics, statistics, physics, or engineering. Some positions may accept applicants with equivalent work experience and demonstrated expertise in machine learning or AI.
Certifications and Skills: While formal certifications are not mandatory, professional credentials in machine learning, data science, or specific AI platforms (such as TensorFlow, PyTorch, or cloud-based ML services) are valuable. Proficiency in programming languages like Python, R, or C++ is essential. Knowledge of statistical methods, optimization algorithms, and performance metrics is expected.
Professional Development: DND supports ongoing learning through access to training programs, conferences, and educational partnerships. You will have opportunities to pursue advanced certifications in AI and machine learning, attend specialized technical workshops, and participate in professional associations such as the Association for the Advancement of Artificial Intelligence (AAAI). Internal mentorship programs and knowledge-sharing initiatives help develop your expertise in defence-specific AI applications.
Entry Plans
Positions as a Model Optimization Analyst are typically advertised through the Public Service Commission job portal (jobs.gc.ca) as open competitions or limited competitions. Entry routes include:
Competitions: Most positions are filled through public competitions where qualified candidates compete based on qualifications, education, and demonstrated experience with machine learning and model optimization.
Student Programs: DND participates in federal student recruitment programs including the Co-op Student Program and the Career Starter Program, which offer entry pathways for recent graduates.
Lateral Moves: Current Government of Canada employees in related roles (such as Data Analysts, Software Developers, or Research Scientists) may apply for internal competitions or transition to this position through interdepartmental mobility.
Talent Pools: DND occasionally establishes talent pools for AI and research positions to streamline recruitment for multiple openings across different locations and teams.
To be competitive, document your experience with real-world machine learning projects, contribute to open-source AI projects, and clearly demonstrate your ability to optimize and evaluate model performance.
Part-Time Options
Part-time employment is available for this position, though opportunities depend on project needs and operational requirements. Some Model Optimization Analyst positions may be structured to accommodate part-time schedules, particularly in research and development phases where flexibility is possible.
Remote Work: Due to the nature of AI research and the availability of secure remote computing resources, this role offers flexible work arrangements. Many analysts work remotely for portions of their schedule while maintaining periodic in-person collaboration with their teams at DND facilities. Remote work eligibility depends on security clearance level and specific project requirements—some work with classified information must be conducted at secure DND locations.
Flexible Schedules: Depending on your team and project, flexible work hours may be available to support work-life balance. Core collaboration hours are typically maintained to ensure effective teamwork and knowledge sharing.
For the most current information on part-time and flexible work options for specific postings, review the job advertisement details or contact the DND HR representative listed in the competition posting.
Related Careers
No related military careers on file for this position.
