Senior Manager, Machine Learning Engineer, Asia

Manulife

Hong Kong, Hong Kong
Hybrid
Design and operate scalable data pipelines
Implement mlops/llmops best practices
Build reusable ml/llm platform components
Manulife is seeking a Senior Manager, Machine Learning Engineer to lead AI/ML initiatives within their Artificial Intelligence team in Hong Kong. The ideal candidate will have extensive experience in developing and operationalizing machine learning models and data pipelines, as well as strong technical proficiency in relevant programming languages and cloud environments

Job Summary

  • Drive the design, development, and operation of AI/ML and GenAI platforms, data pipelines, and production-grade model services.
  • Own end-to-end model lifecycle including training, evaluation, optimization, deployment, monitoring, and continuous improvement.
  • Empower you to learn and grow the career you want in a flexible environment where well-being and inclusion are prioritized.

Matching Summary

Match Score: 85

Manulife is seeking a Senior Manager, Machine Learning Engineer to lead AI/ML initiatives within their Artificial Intelligence team in Hong Kong. The ideal candidate will have extensive experience in developing and operationalizing machine learning models and data pipelines, as well as strong technical proficiency in relevant programming languages and cloud environments.

Skills & Requirements

Must-have

  • Design and operate scalable data pipelines
  • Implement MLOps/LLMOps best practices
  • Build reusable ML/LLM platform components
  • Develop AI/ML solutions for business value
  • Experience with LLMs and GenAI frameworks

Nice-to-have

  • Customer analytics and personalization
  • Conversational AI experience
  • Continuous learning and innovation

Key Requirements

  • 6+ years of hands-on experience
  • Proficiency in Python, SQL, PySpark
  • Experience with MLOps and LLMOps
  • Practical experience with LLMs and GenAI frameworks
  • Degree in Computer Science or related field

Work Rights

Not specified

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