Lead AI Engineer (Supply Chain AI & Machine Learning)

Location: West SingaporeIndustry: Logistics & Supply ChainSalary: Up to S$9,500Benefits: AWS & VBAre you passionate about building AI solutions that solve real-world operational challenges? We are looking for a Lead AI Engineer to drive the development of next-generation AI applications that optimize supply chain operations through predictive analytics, intelligent automation, and advanced machine learning.This is an opportunity to lead technical initiatives while working closely with business stakeholders to transform complex operational processes into scalable AI-powered solutions.ResponsibilitiesLead the design and implementation of enterprise AI applications for supply chain optimization.Develop predictive models for demand forecasting, inventory optimization, and operational planning.Build intelligent decision-support systems for procurement, logistics, and warehouse operations.Design scalable AI architecture and oversee end-to-end solution deployment.Drive adoption of MLOps best practices for model development, deployment, monitoring, and continuous improvement.Mentor and guide a team of AI and software engineers throughout the project lifecycle.Collaborate with business users to understand operational challenges and translate them into AI-driven solutions.Integrate AI applications with enterprise platforms and cloud environments.Evaluate emerging AI technologies and recommend innovative solutions to improve operational efficiency.RequirementsDegree in Computer Science, Data Science, Artificial Intelligence, Operations Research, Industrial Engineering, or related discipline.At least 7 years of software engineering experience, including 3 years in AI / Machine Learning.Strong programming experience using Python.Hands-on experience with Databricks or enterprise data platform technologies.Experience building machine learning solutions for forecasting, optimization, or predictive analytics.Familiarity with modern ML frameworks and time-series forecasting techniques.Experience deploying AI solutions on cloud platforms (AWS, Azure or GCP).Good understanding of MLOps, CI/CD pipelines, Docker, and model lifecycle management.Experience integrating AI applications with enterprise systems such as ERP, WMS, or similar business platforms is advantageous.Strong stakeholder management and communication skills.Previous technical leadership or team management experience will be highly preferred.Ideal BackgroundWe welcome professionals with experience in:Artificial IntelligenceMachine Learning EngineeringData EngineeringSupply Chain AnalyticsOperations ResearchLogistics TechnologyEnterprise AI SolutionsPredictive AnalyticsIntelligent AutomationDigital TransformationWhy Join?Lead high-impact AI transformation projects.Work with modern cloud and AI technologies.Opportunity to influence enterprise-wide digital initiatives.Attractive salary and comprehensive employee benefits.Stable organization with long-term career progression.Collaborative environment that encourages innovation and continuous learning.To Apply, kindly click on the "APPLY NOW" button.We regret that only shortlisted candidates will be notified.StaffKing Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)