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Manulife

Machine Learning Engineer, Global Marketing AI

Manulife

Machine Learning Engineer developing end-to-end AI models at Manulife to enhance sales and marketing efforts. Collaborate with diverse teams to drive AI and Advanced Analytics initiatives.

Posted 4/23/2026full-timeHong Kong • 🇭🇰 Hong KongMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudKubernetesPythonSQL

About the role

Key responsibilities & impact
  • 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, and evaluate their potential applications to improve our AI engineering processes

Requirements

What you’ll need
  • 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
  • Strong background with Python and SQL, experience using both for data analysis and orchestration
  • Experience in applying analytics and AI tools in Marketing and Sales functions
  • Strong business acumen and ability to understand stakeholders’ needs
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities
  • Supportive work environment

ATS Keywords

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Hard Skills & Tools
AI modelsmachine learningdata analysisPythonSQLdata engineeringmodel deploymentautomationanalytical toolscloud platforms
Soft Skills
problem-solvinganalytical skillscommunicationcollaborationbusiness acumen
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Mathematics