M03 - Data Scientist (AI)

Responsibilities

• Manage and maintain complex cloud environments within Government Commercial Cloud (GCC) infrastructure for AI workloads.
• Ensure secure and stable connectivity between internal government systems and AI platforms/tools.
• Perform system maintenance, monitoring, and optimization to ensure reliable AI model performance.
• Implement and maintain security protocols for AI data handling and model deployment.
• Conduct technical due diligence and evaluation of AI technologies, frameworks, and vendor solutions.
• Build proof-of-concepts (POCs) to validate AI model feasibility and performance before deployment.
• Perform stress testing of AI vendor APIs, model endpoints, and third-party AI integrations.
• Document technical findings and provide recommendations for AI technology adoption.
• Develop and maintain automated data pipelines for AI model training and inference.
• Write robust and scalable code to support reliable data movement between source systems and AI models.
• Implement MLOps practices for AI model deployment, monitoring, and maintenance.
• Build and maintain AI model serving infrastructure and API endpoints.

Requirements

• Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field.
• Minimum 3 years of experience in AI/ML engineering or related technical roles.
• Strong programming skills in Python with hands-on experience in AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience managing cloud infrastructure for AI workloads on AWS, Azure, or GCP.
• Knowledge of MLOps practices, model deployment, and monitoring.
• Experience with API development and integration, especially for AI services.
• Familiarity with data pipeline tools and ETL processes for AI applications.
• Experience with containerisation technologies such as Docker and Kubernetes is an advantage.
• Familiarity with Singapore Government technology standards, AI governance frameworks, or Government Commercial Cloud (GCC) environments is an advantage.
• Knowledge of responsible AI practices, bias detection, and AI model interpretability/explainability techniques is preferred.
• Experience implementing AI solutions in government or public sector environments is preferred.
• Strong analytical, problem-solving, and communication skills.
• Ability to manage multiple AI projects and experiments simultaneously.
• Proactive mindset with a strong commitment to data security and AI best practices.