MLOps Lead Engineer - Azure Expertise

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 engagement

• Lead the Agile rollout in Azure’s platform

• Collaborate on AI/ML team strategies and practices

• Ensure Continuous Monitoring of model performance

• Maintain thorough documentation of MLOps processes
Requirements:

• 7+ years in ML engineering or cloud roles

• 2-3 years with MLOps tools like Databricks

• Proficient in SQL, Python, and programming tools

• Strong leadership and mentoring skills

• Familiarity with Terraform for infrastructure automation
Harness your MLOps expertise at Manulife and facilitate cutting-edge AI solutions across teams.
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