Deputy Vice President, Ai/ml Engineering

Singapore Post Ltd

Singapore
Not specified
Vertex ai pipelines and feature store
Bigquery for ml training and serving
Python production-grade feature pipelines
Singapore Post Ltd is seeking a Deputy Vice President of AI/ML Engineering to lead the development of a new AI/ML engineering division from the ground up. The role focuses on building and operationalizing AI systems for logistics and operations, requiring hands-on technical expertise and leadership capabilities

Job Summary

  • This role involves building the Intelligence Layer from scratch to transform SingPost's national logistics network using AI and machine learning.
  • The successful candidate will own the end-to-end MLOps platform on Google Cloud, including Vertex AI pipelines, model governance, and monitoring.
  • As a hands-on leader, you will define production AI standards, recruit the initial team from zero, and personally execute complex engineering tasks.

Matching Summary

Match Score: 85

Singapore Post Ltd is seeking a Deputy Vice President of AI/ML Engineering to lead the development of a new AI/ML engineering division from the ground up. The role focuses on building and operationalizing AI systems for logistics and operations, requiring hands-on technical expertise and leadership capabilities.

Skills & Requirements

Must-have

  • Vertex AI Pipelines and Feature Store
  • BigQuery for ML training and serving
  • Python production-grade feature pipelines
  • GenAI RAG pipeline design and implementation
  • Apigee AI Gateway integration standards
  • MLOps CI/CD automation workflows

Nice-to-have

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

Key Requirements

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

Work Rights

Not specified

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