Manulife's AI Team is seeking a Machine Learning Engineer to develop end-to-end AI models for sales and marketing. The role involves building and deploying GenAI applications on Azure cloud, collaborating with data scientists and business leaders. Responsibilities include designing high-performing AI systems, automating data engineering, and monitoring model performance.
Responsibilities
Partner with architects and technical leaders to design high-performing GenAI applications aligned with business objectives.
Develop AI models and applications on cloud platforms like Azure Databricks and AKS, ensuring seamless integration, scalability, and cost-effectiveness.
Build scripts, automation, and analytical tools that accelerate data engineering and model deployment activities.
Deploy machine learning and GenAI models into production environments, ensuring interoperability with systems, APIs, and data sources.
Continuously monitor and improve the performance of AI models through data analysis and testing.
Stay up to date with the latest advancements in AI technologies and methodologies.
Requirements
Minimum Bachelor's degree in Computer Science, Engineering, Mathematics, or related field with 3 years of applicable experience in AI / Data Science, or a combination of education and experience.
Hands on experience with Azure cloud tools, such as Databricks, AI Foundry, AI Search, Kubernetes.