Computer Vision Engineer

Job summary

Design and productionize advanced computer vision and multimodal AI systems from concept to scalable production. Develop end-to-end pipelines and explore agentic AI patterns to integrate visual intelligence into customer-facing products.

Job details

TITLE: Computer Vision Engineer INDUSTRY: Artificial Intelligence / Technology LOCATION: Mississauga, ON - Hybrid (1 day per week in office) SALARY: Up to $250K base About You: You’re a highly technical Computer Vision Engineer who wants to solve complex, real-world problems-not simply fine-tune existing models. You thrive in zero-to-one environments where you can experiment, architect, build, and own AI systems from concept through production. You’re excited by the convergence of computer vision, multimodal AI, foundation models, agentic systems, and the next generation of intelligent software. About Our Client: Our client is an innovative well-funded start-up company investing heavily in advanced AI and building intelligent products designed to solve complex, real-world challenges. This is an opportunity to join during a critical stage of AI development, with meaningful influence over architecture, tooling, technical direction, and how new AI capabilities are brought into production. You’ll work alongside a highly technical team where experimentation is encouraged, strong engineering fundamentals matter, and engineers have genuine ownership over what they build. Responsibilities: Design, develop, and productionize advanced computer vision and multimodal AI systems. Build end-to-end pipelines spanning data ingestion, preprocessing, model development, evaluation, deployment, monitoring, and continuous improvement. Explore modern approaches across image/video understanding, detection, segmentation, classification, representation learning, and multimodal reasoning. Work with modern foundation models, vision-language models (VLMs), LLMs, and emerging multimodal architectures where applicable. Develop zero-to-one AI capabilities and rapidly move promising concepts from experimentation into scalable production systems. Explore agentic AI patterns, MCP, tool use, orchestration, and multi-agent workflows connecting visual intelligence with broader AI systems. Partner with software, product, and AI engineering teams to integrate models into customer-facing products and internal platforms. Establish rigorous evaluation methodologies around model accuracy, latency, reliability, scalability, and real-world performance. Help shape technical standards and architectural decisions as the organization expands its AI capabilities. Qualifications: Strong professional experience in Computer Vision, Machine Learning, Applied AI, or a closely related discipline. Start-up experience Deep understanding of modern computer vision and deep learning techniques. Strong Python development skills and experience with modern ML frameworks such as PyTorch. Experience taking ML/CV systems beyond experimentation and into real production environments. Strong understanding of model evaluation, data pipelines, inference, optimization, and deployment. Experience working with cloud infrastructure, APIs, containers, and modern software engineering practices. Familiarity with multimodal foundation models, vision-language models, LLMs, or generative AI is highly desirable. Exposure to agentic AI, MCP, tool calling, multi-agent orchestration, RAG, or related emerging AI architectures is an asset. Comfortable operating with ambiguity and solving problems where the technical playbook has not already been written. Most importantly, you have a builder mentality. You enjoy owning difficult problems and shipping technology that actually gets used. Compensation Range: Competitive base salary up to $250K, depending on experience. Hybrid environment with only 1 day per week required in the Mississauga office. Opportunity to work on high-impact, zero-to-one AI initiatives with significant technical ownership. Connecting great people with great companies for great results.

What you’ll do

Design and productionize advanced computer vision and multimodal AI systems from concept to scalable production. Develop end-to-end pipelines and explore agentic AI patterns to integrate visual intelligence into customer-facing products.

Requirements

Requires strong professional experience in Computer Vision and Applied AI with a proven track record in start-up environments. Proficiency in Python and PyTorch is essential, along with experience deploying ML systems into production.

Listed skills

• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Computer Vision
• Machine Learning
• PyTorch
• Python
• Multimodal AI
• Foundation Models
• Vision-Language Models
• Large Language Models
• Agentic AI
• Model Deployment
• Data Pipelines
• Cloud Infrastructure
• Containers
• Inference Optimization
• Representation Learning
• RAG

Job areas

• Technology
• Software
• Engineering
• Science & Research
• Data & Analytics