THE OPPORTUNITY

The Machine Learning Engineer will be part of the U.S. Advanced Analytics team, responsible for packaging models, automating workflows, and operationalizing analytics solutions to generate business value for the insurance division of JH/Manulife. This role will contribute to designing, recommending, and implementing platforms, infrastructure, and standard methodologies in MLOps/LLMOps to support data scientists. The position involves close collaboration with multi-functional teams, including Underwriting, Pricing, IT, Data Office, Operations, Sales, and Distribution. The ideal candidate will be an expert programmer with a strong understanding of data science, data engineering, application development, software engineering, and DevOps/MLOps.

• Design and implement scalable machine learning pipelines in collaboration with data teams
• Optimize, deploy and monitor ML models in production environments
• Build and maintain data science infrastructure using Azure cloud services
• Develop Generative AI applications including RAG systems and fine-tuned LLMs
• Select appropriate technical tools and frameworks for project implementation
• Collaborate with cross-functional teams to integrate ML solutions into existing systems
• Document ML architecture designs, model integration procedures, and deployment workflows in a clear, comprehensive mannerDevelop automation scripts and tools to ease the deployment, scaling, and management of ML systems within the cloud environment