Data Scientist (AI Engineering) - Part-Time

Role Overview

We are looking for a skilled Data Scientist (AI Engineering) to join our Digital, AI and Transformation Department. In this role, you will focus on the technical groundwork and infrastructure that powers our AI capabilities — enabling domain specialists to dedicate their efforts to high-impact, business-critical AI solutions. You will be at the core of building and sustaining the engineering backbone that drives our AI initiatives forward.

Key Responsibilities

Infrastructure & Environment Management

• Oversee and manage complex cloud environments within Government Commercial Cloud (GCC) infrastructure to support AI workloads
• Establish and maintain secure, stable connectivity between internal government systems and AI platforms and tools
• Conduct routine system maintenance and performance monitoring to ensure AI models operate at peak efficiency
• Design and enforce security protocols governing AI data handling and model deployment

Rapid Prototyping & Technical Validation

• Lead technical due diligence assessments for emerging AI technologies, frameworks, and vendor offerings
• Develop proof-of-concepts to validate the feasibility and performance of AI models prior to full-scale deployment
• Carry out stress-testing of AI vendor APIs, model endpoints, and third-party AI integrations
• Produce clear technical documentation and actionable recommendations to guide AI technology adoption decisions

Pipeline Development & AI Infrastructure

• Build and maintain automated data pipelines tailored for AI model training and inference workflows
• Write reliable, high-quality code to ensure seamless data flow from source systems to AI models
• Apply MLOps best practices across model deployment, monitoring, and lifecycle management
• Develop and sustain AI model serving infrastructure and API endpoints

Requirements

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline
• Minimum 3 years of hands-on experience in AI/ML engineering or equivalent technical roles
• Proficient in Python, with working knowledge of AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn
• Demonstrated experience managing cloud infrastructure for AI workloads (AWS, Azure, or GCP)
• Solid understanding of MLOps practices including model deployment and monitoring
• Experience in API development and integration, particularly within AI service ecosystems
• Familiarity with data pipeline tools and ETL processes designed for AI applications

Good to Have

• Exposure to Singapore Government technology standards and AI governance frameworks
• Prior experience working within Government Commercial Cloud (GCC) environments and its AI service offerings
• Knowledge of responsible AI principles, including bias detection in government contexts
• Understanding of public sector data governance and privacy requirements as they relate to AI
• Track record of delivering AI solutions in government or public sector settings
• Experience in domain-specific AI applications such as natural language processing or computer vision
• Familiarity with AI model interpretability and explainability methodologies
• Knowledge of containerisation technologies (Docker, Kubernetes) for AI model deployment