Python, PyTorch, and MLOps anchor this Applied AI Scientist position for engineers turning experiments into reliable production components. Versatile 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 new 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 (Winnipeg)
🏢 Osedea
📍 Winnipeg