Build and operationalize cloud AI systems with DevOps and MLOps expertise for Accenture clients in hybrid Mississauga or Montreal.
As an AI/ML Computational Scientist, you will design scalable solutions combining custom models, cloud services, and third-party AI capabilities. The work includes deployment monitoring, alerting, auditing, and automated bug filing for production systems. You will collaborate with engineers, architects, business owners, users, and designers to integrate complete solutions.
Key Responsibilities: Design scalable data pipelines for model training and production
Deploy and operationalize AI and machine learning solutions
Implement monitoring, alerting, auditing, and automatic bug filing
Use appropriate tools for productive data storage and retrieval




Coordinate end-to-end integration with technical and business teams
Requirements: Minimum two years of AWS, Azure, or GCP experience
Minimum two years deploying production models at scale
Minimum one year building AI/ML cloud software
Computer science degree or related college program completion
Strong client-facing and cross-functional communication skills preferred
Use cloud platforms, MLOps pipelines, and production monitoring to deliver reliable AI solutions for Accenture’s enterprise clients.

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📌 Cloud AI Machine Learning Engineer (Quebec City)
🏢 Accenture
📍 Quebec City