Python, PyTorch, and MLOps anchor this Applied AI Scientist position for engineers turning experiments into reliable production components. Adaptable 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 componentsResearch and implement new models, techniques, and toolsUphold software development guidelines and quality standardsOwn deliverables end-to-end and manage prioritiesCoach colleagues on applied AI implementation approachesRequirements:

Five-plus years of software engineering experienceThree-plus recent hands-on AI/ML yearsExperience with data cleaning, processing, and augmentationKnowledge of cloud AI services on one major platformExperience with MLOps, testing, and CI/CD for MLBring Python software engineering, deep learning, cloud AI, and MLOps skills to production-focused client work.

📌 Machine Learning Software Engineer Ai (Winnipeg)
🏢 Osedea
📍 Winnipeg