Job Description

Key Responsibilities



Develop and maintain enterprise applications for production scheduling, operations planning, as well as sourcing & inventory analytics. Build scalable microservices and user-friendly interfaces using C# .NET and Angular. Apply GenAI technologies to enhance human?AI collaboration in planning and scheduling. Explore and implement simulation and optimisation methods for complex operation planning challenges, as required by the institute. Support deployment and monitoring of applications in production environments. Collaborate closely with senior engineers, researchers, and cross-functional teams to deploy models into production. Document technical designs, code, and workflows for easy maintenance and knowledge sharing. Assist in troubleshooting, debugging, and improving performance for scalability and efficiency.

Requirements



Bachelor's degree in AI, Computer Engineering, Software Engineering, or related field. Minimum of 3 years of experience in software development. Strong programming skills in C# .NET and Angular. Good knowledge of production scheduling, operations planning, or sourcing & inventory analytics in the context of manufacturing. Familiarity with Generative AI and its applications in decision support systems. Basic understanding of optimisation algorithms for scheduling and resource management. Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud/on-premises environments. Problem-solving mindset with strong analytical skills and attention to detail. Eager to learn, proactive, and collaborative with a positive attitude. Good verbal and written communication skills. Effective team member who works to uplift himself/herself as well as team members.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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