AI ENGINEER

AIENGINEER-DIGITALSERVICES&TECHNOLOGYOFFICE

Singapore FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI ENGINEER - DIGITAL SERVICES & TECHNOLOGY OFFICE at AI ENGINEER. Skills: AI/ML development, GenAI models, Cloud AI services, MLOps practices. Develop production-ready AI applications. Develop production-ready AI systems”

What You'll Achieve.

Improve NP operations through intelligent automation; Improve NP operations through advanced analytics; Transition AI models from research to production; Embed AI capabilities into NP's administrative workflows; Embed AI capabilities into NP's academic support workflows; Ensure AI solutions meet NP's technical standards; Comply with data privacy regulations; Comply with ethical AI guidelines; Align AI solutions with institutional goals

Industry & Context.

Problems you'll solve

Problem-solver with a performance-driven mindset

What They're Looking For.

Must Have

Minimum 3 years of hands-on experience in AI/ML development, Demonstrated expertise in building and managing both AI infrastructure and applications in production environments

Nice to Have

Familiarity with Singapore IT governance and security frameworks

What You'll Do.

Develop production-ready AI applications

Develop production-ready AI systems

Build robust AI solutions

Build scalable AI solutions

Implement AI/ML models

Design GenAI-powered applications

Develop GenAI-powered applications

Implement GenAI-powered applications

Integrate AI solutions

Build machine learning models

Train machine learning models

Build deep learning models

Train deep learning models

Build neural network models

Train neural network models

Configure AI development environments

Utilise AI development tools

Implement MLOps practices

Automate model training

Automate model testing

Automate deployment pipelines

Deploy AI applications

Develop microservices

Ensure AI solutions meet standards

Provide technical support

Support deployed AI applications

Support deployed AI models

Define requirements for AI platform

Provide feedback on platform performance

Provide feedback on platform functionality

Align AI solutions with goals

Embed AI capabilities into workflows

How You'll Work.

Team & Collaboration

Work in close collaboration with AI Product Manager; Work in close collaboration with data scientists; Work in close collaboration with cross-functional teams; Collaborate with Infrastructure team; Work closely with data scientists; Work closely with product teams; Work closely with business stakeholders; Collaborate within cross-functional teams

Communication Scope

Communicator able to work across AI, governance, and business stakeholders

Full Job Description

**[What the role is]** This is a 2-year contract position with the Digital Services & Technology Office. The AI Engineer will be instrumental in implementing NP's AI transformation strategy by developing production-ready AI applications and systems that leverage AI tools and Cloud AI services. This role focuses on building robust, scalable AI solutions using GenAI models, deep learning, neural networks, and other AI technologies to improve NP operations through intelligent automation and advanced analytics. Working in close collaboration with the AI Product Manager, data scientists, and cross-functional teams, the AI Engineer will transition AI models from research to production and embed AI capabilities into NP's administrative and academic support workflows. **[What you will be working on]** **AI Solution Development** * Design, develop, and implement AI/ML models, algorithms, and GenAI-powered applications (including conversational AI, content generation, and intelligent document processing systems) using diverse approaches and platforms such as Microsoft Copilot Studio, Databricks Apps, Azure AI Studio, and custom development frameworks. * Deploy and integrate AI solutions with existing enterprise systems, ensuring compatibility with data infrastructure and institutional workflows. **Model Development & Operations** * Design, build, and train machine learning, deep learning, and neural network models tailored to address specific institutional needs across administrative and operational domains. * Collect, analyse, and clean data from various sources to train and test AI models, working closely with data engineering teams to ensure data quality and accessibility. * Test, validate, and optimise algorithms to ensure reliability, scalability, and performance across various use cases and production environments **Technical Implementation** * Configure and utilise AI development environments and tools within the AI platform infrastructure provided by the infrastructur

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