AI ENGINEER - DIGITAL SERVICES & TECHNOLOGY OFFICE

Ngee Ann Polytechnic seeks an AI Engineer for a 2-year, full-time contract with its Digital Services & Technology Office at Clementi Campus. The engineer will help implement the polytechnic’s AI transformation strategy by moving models into production and embedding scalable AI applications in administrative and academic support workflows. The role involves close collaboration with the AI Product Manager, data scientists, infrastructure and data engineering teams, and business stakeholders.

Responsibilities

• Design, build and integrate AI/ML models and generative AI applications, including conversational AI, content generation and intelligent document processing, using platforms such as Microsoft Copilot Studio, Databricks Apps and Azure AI Studio or custom frameworks.
• Collect, analyse and clean training and test data; develop and train machine learning, deep learning and neural network models for institutional needs; and test, validate and optimise their reliability, scalability and performance.
• Configure AI development environments; implement MLOps practices covering automated training, testing, deployment pipelines, version control and continuous integration; and deploy models and applications using Azure, AWS and the available AI platform infrastructure.
• Develop APIs and microservices for integration with enterprise systems and institutional workflows. Support deployed solutions through troubleshooting and performance optimisation, and provide feedback on AI platform requirements.
• Meet technical standards for security and maintainability while complying with data privacy regulations and ethical AI guidelines.

Requirements

• Degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering or a related technical discipline, plus a minimum of 3 years of hands-on AI/ML development experience building and managing AI infrastructure and applications in production.
• Proficiency in Python, R or Java and experience with frameworks such as TensorFlow, PyTorch and scikit-learn. Experience with Azure or AWS AI services, infrastructure as code, Docker, Kubernetes, MLOps, data engineering concepts, APIs, microservices and enterprise integration patterns.
• Experience with enterprise platforms such as Databricks, Microsoft Copilot Studio and Power Platform, and familiarity with Singapore IT governance and security frameworks. The role calls for methodical problem-solving, adaptability, collaboration and communication across technical, governance and business teams.