Drive innovation at Manulife as an MLOps Lead Engineer, utilizing your expertise in Azure. Lead the development of MLOps practices and enhance model deployment strategies.In this key role, you will direct the global MLOps initiatives, ensuring the adoption of industry standards and best practices. You'll work collaboratively with lead data scientists and engineers to optimize infrastructure and monitoring capabilities, contributing to the overall efficiency of model training and deployment processes. Your leadership will shape the MLOps culture at Manulife.Key Responsibilities:Direct the MLOps framework and community engagementLead the Agile rollout in Azure's platformCollaborate on AI/ML team strategies and practicesEnsure Continuous Monitoring of model performanceMaintain thorough documentation of MLOps processesRequirements:7+ years in ML engineering or cloud roles2-3 years with MLOps tools like DatabricksProficient in SQL, Python, and programming toolsStrong leadership and mentoring skillsFamiliarity with Terraform for infrastructure automationHarness your MLOps expertise at Manulife and facilitate cutting-edge AI solutions across teams.#J-18808-Ljbffr

📌 Mlops Lead Engineer - Azure Expertise (Toronto)
🏢 Manulife Financial
📍 Toronto