Associate Machine Learning Engineer

at  Manulife

THE OPPORTUNITY

The Machine Learning Engineer will join the Group Advanced Analytics team, focusing on packaging models, automating workflows, and operationalizing analytics solutions to deliver business value across JH/Manulife. The ideal candidate should be an advanced programmer with a strong grasp of Data Science, Data Engineering, application development, software engineering, and DevOps.

• Collaborate closely with Data Scientists and Data Engineers to design and implement scalable, efficient machine learning pipelines that meet business needs.
• Evaluate machine learning models to ensure optimal performance and scalability, making necessary adjustments to improve outcomes.
• Deploy machine learning models into production environments, ensuring seamless integration, and continuously monitor their performance to maintain reliability and accuracy.
• Manage and oversee data science infrastructure to streamline the model development and deployment process, ensuring efficient workflows.
• Propose and implement appropriate tools, including languages, libraries, and frameworks, to enhance project execution and outcomes.
• Work in collaboration with infrastructure architects to develop scalable and efficient solutions that align with organizational goals and technological capabilities.
• Collaborate with multi-functional teams to integrate machine learning models into existing systems and processes, ensuring a smooth transition and effective implementation.
• Stay ahead of the latest advancements in Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI) to incorporate innovative techniques and technologies into projects.
• Mentor peers and provide guidance on ML/LLMOps standard practices, fostering a culture of continuous learning and improvement within the team.