Machine Learning Engineer

Develop and maintain machine learning models and systems to detect fraudulent transactions and behavior, build scalable feature pipelines, and optimize model performance using MLOps best practices.

Builds ML models and systems for search ranking, relevance, and LLM-driven features. Owns A/B testing and experimentation frameworks for production systems.

Builds next-generation AI tools focusing on critical thinking preservation. Develops AI agents, optimizes prompts, and engineers complex software solutions.

Develops and deploys ML models and pipelines at scale, working at the intersection of blockchain and AI.

Seeking a Senior Machine Learning Engineer to design, build, and operate data and ML infrastructure for AI at scale on the City of Toronto's AWS-based Enterprise Data Platform. Focus is on engineering foundations and deployment frameworks.

Seeking a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions in cloud/on-premise environments. Requires Python, Snowflake, AWS, and Linux.

Seeking a Machine Learning Engineer to design and implement LLM agents and ML models for an AI-driven career guidance platform, focusing on personalized career experiences.

Develop and deploy machine learning models for renewable energy forecasting and digital twin platforms. Requires Python and deep learning framework proficiency.

Designs, builds, trains, evaluates, deploys, and owns ML models and large-scale ML systems to enhance self-serve support experiences, including conversational AI and personalized documentation.