Top AI Jobs in Toronto

Design and implement REST APIs for AI/ML services. Optimize databases on AWS for low latency, and improve system reliability and security.

The Senior AI Platform Engineer designs, implements, and maintains LLM-powered services and APIs, builds scalable infrastructure, and collaborates with teams to enhance online learning tools.

Lead the AI/ML platform development, design architecture, mentor teams, partner with stakeholders, and ensure quality and security in solutions.

Design and develop AI-driven applications while also handling fullstack development tasks. Collaborate with teams to enhance product features and guide technical strategy.

Develop and deploy machine learning models, create APIs for AI inference, improve system reliability, and manage infrastructure efficiently.

Seeking a Senior Data Engineer to build and maintain scalable ETL pipelines for AI development, collaborating with cross-functional teams to optimize manufacturing processes.

The Principal Rust Software Engineer will build AI features for Spice.ai OSS, work on cloud platform development, and lead initiatives to enhance developer experiences.

The Bootcamp Instructor will deliver live online classes, develop course content, engage with students, and provide assessments and feedback in AI-related subjects.

Lead design and implementation of a copilot framework for chatbot AI, enhance internal copilot capabilities, and address system bottlenecks while collaborating with stakeholders.

Lead Influur's data and AI strategy by managing the data team, developing governance frameworks, analyzing data, and providing insights for business success.

The Senior AI/ML Engineer will design and maintain machine learning algorithms, collaborate with engineering teams, implement CI/CD pipelines, and develop RESTful APIs while advocating for team decisions in a regulated environment.

The AI Infrastructure Engineer II will design, build, and maintain cloud infrastructure for AI and ML workloads, utilizing tools such as AWS, Docker, and Kubernetes. Responsibilities include developing CI/CD pipelines and ensuring system performance.

The Staff AI Infrastructure Engineer will design and maintain scalable cloud infrastructure for AI/ML, lead technical discussions, mentor juniors, and optimize deployment processes for operational efficiency.

As a Senior AI/ML Engineer, you'll design and maintain machine learning algorithms, collaborate on CI/CD, and integrate AI solutions within systems.

Join WEX's AI Infrastructure team to design and maintain cloud infrastructure for AI solutions, using AWS, Azure, Docker, and Kubernetes, and gain hands-on experience in a collaborative environment.

As a Senior AI Infrastructure Engineer, you will design, implement, and maintain cloud infrastructure for AI/ML workloads, manage containerization and orchestration, optimize CI/CD pipelines, and mentor junior engineers.