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 productionDeploy and operationalize AI and machine learning solutionsImplement monitoring, alerting, auditing,



and automatic bug filingUse appropriate tools for effective data storage and retrievalCoordinate end-to-end integration with technical and business teamsRequirements:Minimum two years of AWS, Azure, or GCP experienceMinimum two years deploying production models at scaleMinimum one year building AI/ML cloud softwareComputer science degree or related college program completionStrong client-facing and cross-functional communication skills preferredUse cloud platforms, MLOps pipelines, and production monitoring to deliver reliable AI solutions for Accenture's enterprise clients.

📌 Cloud Ai Machine Learning Engineer (Montreal)
🏢 Accenture
📍 Montreal