Senior Computer Vision Engineer - Build Production AI

SearchLabs; Mississauga; Hybrid; CAD 210,000 - 250,000; Full time

Job summary

SearchLabs in Mississauga, ON is seeking a highly technical Computer Vision Engineer to solve real‑world problems from concept through production in a hybrid setup, with one day in the office. You will design, build, and productionize advanced computer vision and multimodal AI systems, develop end‑to‑end data pipelines, and own architectural decisions, tooling, and deployment strategies.

This role offers significant ownership, a fast-paced environment, and the chance to influence early-stage AI

Qualifications

• Strong experience in computer vision, ML, and applied AI.
• Deep understanding of modern CV and deep learning techniques.
• Strong Python development skills and PyTorch experience.
• Production-grade ML/CV systems from data pipelines to deployment.
• Experience with cloud infra, APIs, containers, and modern software practices.

Responsibilities

• Design, develop, and productionize advanced computer vision and multimodal AI systems.
• Build end-to-end pipelines for data ingestion, preprocessing, model development, evaluation, and deployment.
• Explore image/video understanding, detection, segmentation, classification, and multimodal reasoning.
• Work with vision-language models, LLMs, and emerging multimodal architectures.
• Develop zero-to-one AI capabilities and move concepts into scalable production.
• Partner with software and AI teams to integrate models into customer-facing products.

Skills

Computer Vision

Machine Learning

Python

PyTorch

Production deployment

Cloud & pipelines

Tools

Docker

Kubernetes

MLflow

Job description

SearchLabs in Mississauga, ON is seeking a highly technical Computer Vision Engineer to solve real‑world problems from concept through production in a hybrid setup, with one day in the office. You will design, build, and productionize advanced computer vision and multimodal AI systems, develop end‑to‑end data pipelines, and own architectural decisions, tooling, and deployment strategies.

This role offers significant ownership, a fast-paced environment, and the chance to influence early-stage AI