AI-Driven Supply Chain Systems Manager

STAFFKING PTE. LTD.

Singapore

On-site

SGD 89,000 - 106,000

Full time

14 days+

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Benefits offered by this job

AWS
VB

Job summary

STAFFKING PTE. LTD. seeks an AI/ML focused software engineer to lead the development of a comprehensive AI-driven supply chain platform. You will deploy predictive models for inventory optimization and build intelligent procurement systems to optimize vendor selection and purchasing processes.

The role emphasizes Python-based ML/model development, backend systems, and potential benefits from Databricks experience. Strong knowledge of time-series forecasting is advantageous.

Qualifications

  • Experience in software engineering with a focus on AI/ML development.
  • Strong proficiency in Python for ML model development and backend systems.
  • Experience with Databricks is an added advantage.
  • Knowledge of time-series forecasting and constraint-based optimisation will be an added advantage.

Responsibilities

  • Lead the development and integration of a comprehensive AI-driven supply chain operating platform covering all modules.
  • Deploy sophisticated predictive models to analyze inventory-specific demand patterns, incorporating seasonality, market trends, and lead-time variability to ensure optimal stock levels and availability.
  • Build automated, intelligent procurement systems that optimize vendor selection, purchase order generation, and cost-efficiency.
  • Develop optimization engines for route planning, warehouse resource allocation, and real-time distribution efficiency.

Skills

AI/ML development
Python programming
Software engineering

Tools

Databricks

Job description

STAFFKING PTE. LTD. seeks an AI/ML focused software engineer to lead the development of a comprehensive AI-driven supply chain platform. You will deploy predictive models for inventory optimization and build intelligent procurement systems to optimize vendor selection and purchasing processes.

The role emphasizes Python-based ML/model development, backend systems, and potential benefits from Databricks experience. Strong knowledge of time-series forecasting is advantageous.

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