Job Description
Are you a visionary engineer looking to shape the future of Singapore's financial ecosystem? The Monetary Authority of Singapore (MAS) is seeking a talented Full Stack AI Engineer to join our high-impact technology team on a contract basis. In this role, you will play a pivotal part in developing cutting-edge AI-driven applications designed to enhance operational productivity and regulatory efficiency across the nation's financial sector.
As part of our digital transformation initiative, you will work at the intersection of complex financial data and modern software architecture. You will be responsible for building robust, scalable full-stack solutions that leverage advanced Machine Learning models, helping MAS maintain its position as a global leader in financial technology. We offer a collaborative environment where innovation meets public service excellence.
Responsibilities
- Design, develop, and deploy end-to-end AI/ML applications that optimize internal workflows and financial sector oversight.
- Build and maintain high-performance RESTful APIs and microservices to support data-intensive AI models.
- Develop responsive, user-centric front-end interfaces using modern frameworks like React or Angular to visualize AI-driven insights.
- Collaborate with Data Scientists to integrate complex predictive models into production environments.
- Implement robust CI/CD pipelines to ensure seamless deployment and scalability of AI solutions.
- Ensure high standards of security, data privacy, and compliance within all developed applications.
- Troubleshoot, debug, and upgrade existing legacy systems to ensure operational stability.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.
- Proven experience as a Full Stack Developer with at least 3-5 years of experience in production environments.
- Strong proficiency in modern programming languages such as Python (FastAPI/Flask/Django) and JavaScript/TypeScript.
- Hands-on experience with frontend technologies including React, Vue.js, or Angular.
- Experience in deploying AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes.
- Strong knowledge of database design, specifically with SQL (PostgreSQL) and NoSQL (MongoDB/Redis) systems.