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 efficient 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
- Solid 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.

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