Join Manulife as a Lead ML Engineer focused on MLOps and LLMOps, driving initiatives in Azure. You’ll own the MLOps framework and facilitate collaboration across AI and ML teams.

In this senior role, you will oversee the rollout of MLOps practices globally, working with lead data scientists and engineers. You’ll be responsible for ensuring the reliability and scalability of model deployment, continuously improving monitoring strategies. Your leadership will guide the development of best practices and comprehensive documentation within the MLOps framework.

Key Responsibilities: • Lead the MLOps framework and maintain GitHub repository • Oversee global MLOps rollout in the Azure platform • Collaborate with AI/ML teams for best practice adoption • Ensure reliability through Continuous Monitoring capabilities • Streamline AI ML model deployment strategies

Requirements: • 7+ years in ML engineering or DevOps • 2-3 years with MLOps tools like Databricks and MLFlow ...