Deputy Vice President, Ai/ml Engineering

SingPost

Singapore
Not specified
Vertex ai pipelines and feature store
Python ml engineering with bigquery
Genai rag pipeline design
SingPost is seeking a Deputy Vice President of AI/ML Engineering to lead the development of an AI/ML engineering division from the ground up as part of a significant technological transformation. The ideal candidate will have extensive experience in AI/ML engineering and leadership within production environments, with a focus on building and operationalizing systems that drive business value

Job Summary

  • This role involves building the Intelligence Layer from scratch for Singapore's National Logistics Carrier without legacy technical debt.
  • The successful candidate will own the end-to-end MLOps platform on Google Cloud, including feature stores, model registries, and CI/CD automation.
  • The position requires a leader who can recruit a team from zero while maintaining significant hands-on technical output in Python and Vertex AI.

Matching Summary

Match Score: 85

SingPost is seeking a Deputy Vice President of AI/ML Engineering to lead the development of an AI/ML engineering division from the ground up as part of a significant technological transformation. The ideal candidate will have extensive experience in AI/ML engineering and leadership within production environments, with a focus on building and operationalizing systems that drive business value.

Skills & Requirements

Must-have

  • Vertex AI Pipelines and Feature Store
  • Python ML engineering with BigQuery
  • GenAI RAG pipeline design
  • Production MLOps platform ownership
  • PDPA data governance enforcement
  • Hands-on debugging of production failures

Nice-to-have

  • Experience in logistics or supply chain
  • Financial services domain exposure
  • Agentic architecture pattern knowledge
  • Offshore distributed team coordination
  • Strong stakeholder communication skills

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 8+ years in technology roles with 5+ years in AI/ML engineering
  • 3+ years in technical engineering leadership
  • Google Cloud Professional Machine Learning Engineer certification preferred
  • Proven experience with scikit-learn, PyTorch, TensorFlow, and FastAPI

Work Rights

Not specified

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