Data Scientist (AI Engineering)

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