Software Engineering Manager (AI Supply Chain Solutions)

Good Job Creations (Singapore) Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Good Job Creations (Singapore) Pte Ltd seeks a seasoned software architect to lead the design, development, and integration of an AI-powered supply chain platform. You will build predictive models, optimize inventory, and drive end-to-end implementation.

You will mentor engineers, define architecture, and ensure seamless integration with ERP and WMS systems while leveraging cloud platforms and MLOps practices to deliver robust solutions.

Qualifications

• Degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or related field.
• At least 5 years of software engineering experience, including 3 years of AI/ML development.
• Proven experience leading technical teams through complex, multi-phase projects.
• Strong proficiency in Python for ML and backend development.
• Hands-on experience with time-series forecasting models (Prophet, LSTM, Transformer).
• Experience with optimization frameworks including OR-Tools, Gurobi, or similar technologies.
• Knowledge of databases, data lakes, and data platforms (Databricks).
• Deep knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with containerization and MLOps CI/CD pipelines.
• Experience integrating AI with ERP/WMS (SAP or Oracle) is a plus.

Responsibilities

• Spearhead the design, development, and integration of an end-to-end AI-powered supply chain platform.
• Develop predictive demand forecasting models to optimize inventory planning and stock availability.
• Build intelligent procurement solutions that enhance vendor selection, automate purchasing workflows, and improve cost efficiency.
• Create logistics optimization engines for route planning, warehouse resource allocation, and distribution performance.
• Lead and mentor software engineers and AI developers, promoting engineering excellence, code quality, and MLOps best practices.
• Drive workflow transformation initiatives through process redesign, automation, and AI implementation.
• Partner with business stakeholders and customers to translate operational challenges into scalable technical solutions.
• Define technical architecture, implementation roadmaps, and solution strategies aligned with business objectives.
• Integrate AI applications with enterprise systems and data platforms to ensure seamless operational performance.

Skills

Python

Team leadership

MLOps

Time-series forecasting

Cloud computing

Education

Bachelor's degree in Computer Science, Data Science, OR, Industrial Engineering

Tools

Databricks

OR-Tools

Gurobi

SAP/Oracle ERP

WMS integration

CI/CD pipelines

Job description

Responsibilities

• Spearhead the design, development, and integration of an end-to-end AI-powered supply chain platform.
• Develop predictive demand forecasting models to optimize inventory planning and stock availability.
• Build intelligent procurement solutions that enhance vendor selection, automate purchasing workflows, and improve cost efficiency.
• Create logistics optimization engines for route planning, warehouse resource allocation, and distribution performance.
• Lead and mentor software engineers and AI developers, promoting engineering excellence, code quality, and MLOps best practices.
• Drive workflow transformation initiatives through process redesign, automation, and AI implementation.
• Partner with business stakeholders and customers to translate operational challenges into scalable technical solutions.
• Define technical architecture, implementation roadmaps, and solution strategies aligned with business objectives.
• Integrate AI applications with enterprise systems and data platforms to ensure seamless operational performance.

Requirements

• Degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related discipline.
• At least 5 years of software engineering experience, including 3 years of AI/ML development experience.
• Proven experience leading technical teams through complex, multi-phase projects.
• Strong proficiency in Python for machine learning development and backend application engineering.
• Hands-on experience with time-series forecasting models such as Prophet, LSTM, and Transformer architectures.
• Experience with optimization frameworks including OR-Tools, Gurobi, or similar technologies.
• Practical knowledge of database, data lake, and data platform implementation, including Databricks or similar solutions.
• Deep knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with containerization technologies and MLOps practices, including CI/CD pipelines for data and model deployment.
• Hands-on experience integrating AI solutions with ERP platforms such as SAP or Oracle and Warehouse Management Systems (WMS) is an added advantage.

We regret that only shortlisted candidates will be notified. However, all applications will be updated to our resume bank for future opportunities.

Please kindly refer to the Privacy Policy of Good Job Creations: https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Felicia Chiam Kar Min

EA Personnel Reg. no.: R25152370

EA License no.: 07C5771