- Suntec City Central Region (Singapore) Singapore
Kerja Sepenuh Masa, Manager - Supply Chain Systems Development (West) di ST LOGISTICS PTE. LTD. Central Region (Singapore) - Maukerja
Manager - Supply Chain Systems Development (West)
ST LOGISTICS PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Overview
We are seeking a visionary lead software engineer to bridge the gap between advanced AI technology and mission-critical supply chain operations. You will spearhead our cross-functional team of software and AI application developers to architect and deploy an integrated, end-to-end intelligent supply chain ecosystem.
Your mandate is to design and implement AI-led solutions that transform how we conduct inventory forecasting demand, manage procurement, and orchestrate logistics operations. Beyond technical architecture, you will serve as a consultative leader—partnering with internal teams and customers to apply design thinking to business processes.
You will ensure that our solutions are not just high-performing, but strategically aligned to drive operational efficiency, measurable ROI, and sustainable business growth. You will thrive in an environment where your professional decisions are consistently guided andgrounded by our corporate values of integrity, innovation, and a commitment to our collective success.
Requirement
-Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.
-Experience: At least 5 years of software engineering experience, with 3+ years specifically in AI/ML development. Proven track record of leading technical teams through complex, multi-phase project lifecycles.
-Technical Proficiency: Expert-level Python for both ML modeling and backend systems. Proficient in time-series forecasting (Prophet, LSTMs, Transformers) and constraint-based optimization (OR-Tools, Gurobi). Have sound technical knowledge and skills related to databases/data lakes/data platforms (e.g.Databricks) setup and implementation.
-Domain Expertise: Comprehensive understanding of the integrated supply chain, specifically regarding the nuances of inventory forecasting demand, purchasing, warehousing and last-mile/distribution logistics. Proven record of delivering quantifiable ROI (e.g., reduc
We are seeking a visionary lead software engineer to bridge the gap between advanced AI technology and mission-critical supply chain operations. You will spearhead our cross-functional team of software and AI application developers to architect and deploy an integrated, end-to-end intelligent supply chain ecosystem.
Your mandate is to design and implement AI-led solutions that transform how we conduct inventory forecasting demand, manage procurement, and orchestrate logistics operations. Beyond technical architecture, you will serve as a consultative leader—partnering with internal teams and customers to apply design thinking to business processes.
You will ensure that our solutions are not just high-performing, but strategically aligned to drive operational efficiency, measurable ROI, and sustainable business growth. You will thrive in an environment where your professional decisions are consistently guided andgrounded by our corporate values of integrity, innovation, and a commitment to our collective success.
Requirement
-Degree in Computer Science or related discipline, Operations Research, Industrial Engineering or Data Science.
-Experience: At least 5 years of software engineering experience, with 3+ years specifically in AI/ML development. Proven track record of leading technical teams through complex, multi-phase project lifecycles.
-Technical Proficiency: Expert-level Python for both ML modeling and backend systems. Proficient in time-series forecasting (Prophet, LSTMs, Transformers) and constraint-based optimization (OR-Tools, Gurobi). Have sound technical knowledge and skills related to databases/data lakes/data platforms (e.g.Databricks) setup and implementation.
-Domain Expertise: Comprehensive understanding of the integrated supply chain, specifically regarding the nuances of inventory forecasting demand, purchasing, warehousing and last-mile/distribution logistics. Proven record of delivering quantifiable ROI (e.g., reduc
Peringatan Penting
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