Computer Vision Analyst

Artificial Intelligence (AI) Research & Modeling Employee

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Overview

As a Computer Vision Analyst with the Department of National Defence, you will develop and apply advanced computer vision technologies to support defence and security objectives. You will work with cutting-edge artificial intelligence and machine learning techniques to analyze visual data, create intelligent systems for image and video processing, and solve complex defence challenges. This role combines technical expertise with strategic thinking to deliver innovative solutions that enhance operational capabilities. Your responsibilities will include designing and implementing computer vision algorithms, conducting research on emerging AI technologies, analyzing imagery and video data to extract actionable intelligence, and collaborating with multidisciplinary teams including software engineers, data scientists, and military personnel. You will document your findings, present technical results to stakeholders, and ensure that solutions meet defence requirements and security standards. You will work in a dynamic environment that values innovation and continuous improvement. Whether working in Ottawa headquarters, regional Defence Research and Development Canada (DRDC) facilities, or supporting operations across Canada, you will contribute to projects that have meaningful impact on national defence. The role offers opportunities to work with state-of-the-art technology, lead research initiatives, and mentor junior analysts as you advance your career.

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

To succeed as a Computer Vision Analyst, you should have a bachelor's degree in computer science, engineering, mathematics, or a related discipline. Many positions prefer or require a master's degree in computer vision, artificial intelligence, machine learning, or a specialized field. Strong foundational knowledge in linear algebra, calculus, statistics, and programming is essential. Key technical competencies include proficiency in programming languages such as Python, C++, or Java; experience with computer vision libraries and frameworks like OpenCV, TensorFlow, or PyTorch; and knowledge of machine learning algorithms and deep learning architectures. Familiarity with image processing, pattern recognition, and data analysis is highly valuable. The Government of Canada and DND offer professional development opportunities including training in emerging AI technologies, security clearance sponsorship, access to specialized courses, and conference attendance. Many positions support continuing education, including graduate studies. You may pursue certifications in machine learning, cloud computing, or specific AI platforms. Mentorship programs and internal knowledge-sharing forums help you stay current with rapid advances in the field.

Entry Plans

You can enter the DND civilian workforce as a Computer Vision Analyst through several pathways: **Competition-Based Hiring**: DND regularly posts positions through the Public Service Commission (PSC). These competitions are open to Canadian citizens and permanent residents. You can find current postings on the Government of Canada Jobs website (jobs.gc.ca) and DND's careers portal. **Student and Early Career Programs**: If you are a recent graduate or student, explore DND's Student Work Experience Program (SWEP), the Career-Focused Development Program (CFDP), or Co-op placements. These programs provide entry points and can lead to permanent positions. **Post-Secondary Recruitment**: DND actively recruits at Canadian universities and colleges. Attend recruitment events or connect with campus representatives to learn about opportunities. **Lateral Moves**: If you are already in the federal Public Service in a related position (such as Data Analyst, Software Developer, or Research Officer), you may apply for internal competitions or request lateral transfers to AI-focused roles. **Priority Hiring**: Depending on your background, you may be eligible for priority consideration if you are a veteran, Indigenous person, person with a disability, or member of a designated equity group. All positions require a valid security clearance; top-secret clearance is typical for many DND roles. The hiring process includes technical assessments, interviews, and reference checks.

Part-Time Options

Part-time and flexible work arrangements are increasingly available for Computer Vision Analyst positions within DND, though availability depends on the specific role, project, and operational needs. **Flexible Work**: Many analyst roles offer flexible hours and compressed work weeks, allowing you to balance professional and personal commitments while maintaining productivity on research and development projects. **Remote Work**: Hybrid and remote work options have expanded across DND, particularly for research and analytical work that does not require on-site access to specialized equipment or classified facilities. Some positions allow full-time telework, while others require periodic on-site presence for collaboration, security protocols, or access to specialized labs. **Part-Time Positions**: Permanent part-time Computer Vision Analyst positions are available, though less common than full-time roles. These typically offer prorated benefits and are suitable for candidates seeking work-life balance. Term and casual positions may also offer flexible scheduling. Arrangements are negotiated individually based on operational requirements, project timelines, and security considerations. We encourage you to discuss flexibility options during the recruitment process. Note that roles involving classified information or hands-on work with specialized equipment may have more limited remote options.