AI-Powered Supply Chain Platform Lead

ST Logistics Pte Ltd; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

ST Logistics Pte Ltd is seeking a senior software architect/engineer to lead the development of an AI-driven supply chain platform, covering inventory forecasting, procurement, and logistics optimization. You will own end-to-end system delivery and mentor a team of engineers across ML, data, and backend domains.

You will translate complex business needs into scalable technical roadmaps, drive MLOps practices, and collaborate with clients and stakeholders to deliver tangible ROI and operational

Qualifications

• Degree required in Computer Science, OR, Industrial Engineering or Data Science.
• 7+ years of software engineering with 3+ years in AI/ML development and leading tech teams.
• Expert-level Python for ML modeling and backend systems; strong forecasting and optimization skills.

Responsibilities

• Lead the development and integration of an AI-driven supply chain platform.
• Oversee inventory forecasting, procurement, and logistics optimization.
• Mentor engineers and drive MLOps and CI/CD for data and models.
• Translate business pain points into scalable technical roadmaps for clients.

Skills

Python for ML

Time-series forecasting

Constraint-based optimization

Databricks / data platforms

Cloud infrastructure (AWS/GCP/Azure)

MLOps pipelines

CI/CD for data & models

ERP/WMS integration

Leadership

Communication

Education

Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science

Tools

OR-Tools

Gurobi

Prophet

Job description

ST Logistics Pte Ltd is seeking a senior software architect/engineer to lead the development of an AI-driven supply chain platform, covering inventory forecasting, procurement, and logistics optimization. You will own end-to-end system delivery and mentor a team of engineers across ML, data, and backend domains.

You will translate complex business needs into scalable technical roadmaps, drive MLOps practices, and collaborate with clients and stakeholders to deliver tangible ROI and operational