Deputy Vice President, AI/ML Engineering
Core
Building the Intelligence Layer (AI/ML engineering division) from scratch to generate automated decisions, predictions, and automation for logistics, finance, and operations at a national carrier.
Role type
Senior IC machine-learning engineer (audio)
Builds
Production-grade AI/ML systems, MLOps platforms, and GenAI pipelines for logistics and financial operations.
Domain
Logistics, supply chain, and financial services on Google Cloud Platform.
Deliverable
production ML models
Required skills
Python ML engineering, Vertex AI, BigQuery, MLOps pipeline architecture, GenAI/LLM solution design, model governance, team leadership
Preferred skills
Google Cloud certifications, logistics/supply chain domain expertise, complex enterprise environment experience
Technologies
Vertex AI, BigQuery, Kubeflow SDK, Apigee, scikit-learn, XGBoost, PyTorch/TensorFlow, FastAPI/Flask
Responsibilities
Frame AI/ML problems and define success metrics; write production-grade feature engineering pipelines; build and own Vertex AI Pipelines and endpoints; implement model monitoring and governance; architect the MLOps platform; enforce PDPA compliance; lead team building and offshore coordination
Seniority
Senior, hands-on IC