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Jobs in Canada
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Software Architect - AI Accelerated Engineering Lead
Slalom
Manage GenAI-driven teams: Orchestrate multi-developer environments where AI agents and engineers work side by side - ensuring productivity, quality, and responsible adoption.
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Intermediate AI Engineer
Price Industries Limited
DevOps & Deployment: Docker, Azure DevOps, Git, CI/CD, MLOps
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AI Engineer
Valsoft Corporation
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Senior Consultant - Fraud Analytics
EY
Knowledge of MLOps, model governance, explainable AI, and model monitoring practices.
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Manager, Data Platform(s) Architect, Data & AI
KPMG
Develop accelerators, ingestion frameworks, CICD/MLOps templates, and platform standards.
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MLOps & Data Engineer
Palitronica Inc.
Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and…
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Senior Machine Learning Engineer
SCIENTIFIC GAMES
…infrastructure, deployment workflows, observability standards, and developer experience patterns that scale across the…
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Senior Applied Machine Learning Engineer - Asset Intelligence
MaintainX (An Autodesk Company)
We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset…
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Lead AI/ML Engineer
Royal Bank of Canada
Architect and implement MLOps pipelines for model training, evaluation, deployment, and monitoring
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Lead AI/ML Engineer
RBC
Architect and implement MLOps pipelines for model training, evaluation, deployment, and monitoring
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Director, AI Platform Engineering
BMO
…are energized by taking real engineering assets - an existing developer portal, AI registry, a body of policy-as-code, and gateway integrations - and formalizing, scaling, and governing…
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Principal Architect, AI Platform
BMO
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
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Sr Director, Enterprise Data and AI Platform
Dayforce
Establish enterprise MLOps and LLMOps practices for machine learning and generative AI, including model lifecycle management, prompt and model evaluation, monitoring, observability,…
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Machine Learning Engineer (with Vertex AI Experience)
Tiger Analytics
Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows.
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Data Scientist
Gibraltar Mine
Linux command line interface, bash scripting, workflow orchestration with Airflow, containerization with Docker, version control with Git, and MLOps practices.
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Senior, AI & Data Science
Artefact North America
MLOps exposure: model versioning, pipelines, monitoring.
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Director, AI & Data Science (Marketing Measurement & Effectiveness)
Artefact North America
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Director, AI & Data Science
Artefact North America
Solid grasp of AI system design: ML model lifecycle (MLOps), agents, tool use, evaluation harnesses, guardrails, and observability.
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Senior, AI & Data Science
Welcome to the Jungle
MLOps exposure: model versioning, pipelines, monitoring.