Senior Machine Learning Engineer

Manulife

Hong Kong, Hong Kong
Hybrid
Design, develop, operate ai/ml platforms
Build scalable data pipelines
End-to-end model lifecycle management
Drive the design, development, and operation of AI/ML and GenAI platforms, data pipelines, and production-grade model services

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.
  • We’ll empower you to learn and grow the career you want, recognizing and supporting you in a flexible environment where well-being and inclusion are more than just words.

Matching Summary

Drive the design, development, and operation of AI/ML and GenAI platforms, data pipelines, and production-grade model services.

Skills & Requirements

Must-have

  • design, develop, operate AI/ML platforms
  • build scalable data pipelines
  • end-to-end model lifecycle management
  • MLOps/LLMOps CI/CD pipelines
  • Python, SQL, PySpark proficiency
  • Azure, Databricks, Kubernetes experience
  • LLMs and GenAI frameworks

Nice-to-have

  • customer analytics, personalization, conversational AI
  • continuous learning and innovation
  • flexible work environment
  • inclusive work culture

Key Requirements

  • 6+ years experience delivering production ML systems
  • Degree in Computer Science or related field
  • MLOps and LLMOps experience
  • Cloud-native data/compute environments

Work Rights

Not specified

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