Python, PyTorch, and MLOps anchor this Applied AI Scientist position for engineers turning experiments into reliable production components. Flexible work options are stated.
You will combine software engineering habits with hands-on AI/ML expertise across exploration, evaluation, deployment, monitoring, and iteration. The position includes developing documented software, defining performance and security requirements, and strengthening quality standards. You will collaborate with teammates, coach colleagues, and support client decisions.
Key Responsibilities: Turn experiments into production-ready AI components
Research and implement recent models, techniques, and tools
Uphold software development guidelines and quality standards




Own deliverables end-to-end and manage priorities
Coach colleagues on applied AI implementation approaches
Requirements: Five-plus years of software engineering experience
Three-plus recent hands-on AI/ML years
Experience with data cleaning, processing, and augmentation
Knowledge of cloud AI services on one major platform
Experience with MLOps, testing, and CI/CD for ML
Bring Python software engineering, deep learning, cloud AI, and MLOps skills to production-focused client work.

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📌 Machine Learning Software Engineer AI (Quebec City)
🏢 Osedea
📍 Quebec City