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.

📌 Machine Learning Software Engineer AI (Montreal)
🏢 Osedea
📍 Montreal