AI Engineer (AISG-SAF AI Center)

National University of Singapore; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC) seeks an experienced AI engineer to develop and deploy AI solutions while strengthening the SAF workforce’s AI engineering capabilities through technical mentorship, training and professional development. You will build ML pipelines, LLM applications, and RAG systems, applying CI/CD, testing, documentation and version control.

Strong Python skills and knowledge of PyTorch/TensorFlow/scikit-learn are essential, with collaboration

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Data Science or related discipline, or equivalent practical experience.
• Minimum 1 year of relevant experience in software engineering, Machine Learning engineering or applied AI experience, including production deployment.
• Proficiency in Python programming and familiarity with ML frameworks such as PyTorch, TensorFlow or scikit-learn.
• Good understanding of machine learning fundamentals, data pipelines and model evaluation.
• Familiarity with software development tools and practices, including Git, Docker, CI/CD pipelines, and API integration, would be advantageous.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Interest in knowledge sharing, mentoring, and facilitating technical learning or training activities.

Responsibilities

• Develop AI solutions from problem scoping and data preparation through model evaluation, integration and deployment.
• Build and enhance machine learning pipelines, LLM applications, retrieval-augmented generation (RAG) systems and agent workflows.
• Apply sound engineering practices, including automated testing, CI/CD, model monitoring, documentation and version control.
• Provide technical consultancy and mentor engineers through pair programming, code reviews and architecture discussions.
• Develop training materials, refresh onboarding curricula and contribute to quarterly AI workshops and knowledge-sharing sessions.
• Support the development of job-skills-proficiency mappings, competency assessments and professional and ethical standards.
• Guide engineers in developing practical project portfolios and preparing for AI engineer certification.
• Contribute to the partnership’s AI solution deployment targets and effective knowledge transfer to project teams.

Skills

Python

ML frameworks

Git

Docker

CI/CD

Communication

Mentoring

Education

Bachelor’s Degree in Computer Science, Engineering, Data Science or related

Tools

PyTorch

TensorFlow

scikit-learn

API integration

Job description

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to develop and deploy AI solutions while strengthening the SAF workforce’s AI engineering capabilities through technical mentorship, training and professional development.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

• Develop AI solutions from problem scoping and data preparation through model evaluation, integration and deployment.
• Build and enhance machine learning pipelines, LLM applications, retrieval-augmented generation (RAG) systems and agent workflows.
• Apply sound engineering practices, including automated testing, CI/CD, model monitoring, documentation and version control.
• Provide technical consultancy and mentor engineers through pair programming, code reviews and architecture discussions.
• Develop training materials, refresh onboarding curricula and contribute to quarterly AI workshops and knowledge-sharing sessions.
• Support the development of job-skills-proficiency mappings, competency assessments and professional and ethical standards.
• Guide engineers in developing practical project portfolios and preparing for AI engineer certification.
• Contribute to the partnership’s AI solution deployment targets and effective knowledge transfer to project teams.

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Data Science or a related discipline, or equivalent practical experience.
• Minimum 1 year of relevant experience in software engineering, Machine Learning engineering or applied AI experience, including production deployment.
• Proficiency in Python programming and familiarity with ML frameworks such as PyTorch, TensorFlow or scikit-learn.
• Good understanding of machine learning fundamentals, data pipelines and model evaluation.
• Familiarity with software development tools and practices, including Git, Docker, CI/CD pipelines, and API integration, would be advantageous.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Interest in knowledge sharing, mentoring, and facilitating technical learning or training activities.