Lead AI solution deployments as a Senior MLOps Engineer with our team in Canada. This remote role blends infrastructure management, CI/CD, and lifecycle oversight in an enterprise setting. We are seeking a Senior MLOps Engineer, a strategic technical architect with a focus on automating and managing AI lifecycle operations.

With over 8 years of experience, you will design and implement CI/CD pipelines, develop infrastructure-as-code (IaC), and establish monitoring solutions for cloud settings. Your expertise will ensure reliable, secure AI systems that meet our clients' needs. Key Responsibilities:
Design and maintain CI/CD pipelines for AI artifacts
Develop infrastructure-as-code for reproducible AI environments




Implement model and prompt registries with versioning
Integrate monitoring and observability into AI pipelines
Produce operational runbooks tailored to client needs Requirements:
8+ years in DevOps/platform engineering
Experience with IaC for AI environments
Proven CI/CD pipeline development skills
Solid understanding of monitoring and observability
Familiarity with data privacy and cybersecurity protocols Shape the future of AI deployments and ensure operational excellence with your MLOps expertise.

📌 Senior Mlops Engineer Remote Canada Toronto
🏢 Idea theorem
📍 Canada