AI & Data Engineer

ASTM International; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

ASTM International is seeking an AI & Data Engineer for the AM CoE Market Intelligence team in Singapore. You will design, build, and maintain AI and data tools to support research, automate intelligence deliverables, and power AI features on the team’s digital platform.

The role collaborates with technical experts to ensure outputs are accurate and reliable, with travel up to 20% as needed.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Experience building applications with large language models and modern AI/ML frameworks.
• Strong programming skills (Python) and experience with APIs, data pipelines, and cloud services.
• Experience with retrieval-augmented generation (RAG), prompt engineering, and evaluating model outputs.
• Excellent communication and organizational skills; ability to meet project timelines.
• Willing to learn and adapt with emerging technologies; team-oriented and detail-minded.

Responsibilities

• Build and maintain AI/LLM tools and data pipelines that process large documents and datasets.
• Develop and support AI features on the team's digital platform, including a research/search assistant.
• Help automate the production of recurring research and intelligence deliverables to improve efficiency and quality.
• Build reusable tools and workflows across multiple subject areas.
• Implement appropriate controls for quality, cost, and data governance.
• Work with technical experts to review and validate AI-generated output for accuracy.
• Support integration with external vendors and internal technology review processes as required.

Skills

Python

APIs

Data pipelines

Large language models

RAG

Prompt engineering

Model evaluation

Communication

Project management

Team collaboration

Attention to detail

Independent decision-making

Problem solving

Innovation

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field

Master's degree in Computer Science, Data Science, or a related field

Tools

Cloud platforms (AWS/Azure/GCP)

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

SG

11 days ago Requisition ID: 1626

In response to the expansion into new emerging areas in recent years, the ASTM Advanced Manufacturing Center of Excellence (AM CoE) is exploring the convergence of Additive Manufacturing and other emerging technologies such as Robotics, automation and autonomous system, Artificial intelligence and Machine learning (AI & ML) targeting towards applications in Advanced Manufacturing.

Through collaboration among industry, government, and academia, ASTM AM CoE addresses not only the need for accelerated standards development models to help qualify these growing markets but also the personnel training and certification programs needed for those now tasked with a more diverse set of responsibilities.

The AM CoE conducts R&D projects, technology road mapping sessions, strategic guidance reports as well as landscape analysis to help organizations adopt AM and other Advanced Manufacturing technologies. Some of these projects are a result of cross-continent efforts coordinated and supported by the AM CoE.

We are seeking a AI & Data Engineer to join the AM CoE's Market Intelligence team in Singapore. The AI & Data Engineer will design, build, and maintain AI and data tools that support the team's research and analysis, help automate the production of intelligence deliverables, and power AI features on the team's digital platform. The role works closely with technical experts to ensure outputs are accurate and reliable.

Specifically, the AI & Data Engineer will:

• Build and maintain AI/LLM tools and data pipelines that process large documents and datasets into structured, usable analysis
• Develop and support AI features on the team's digital platform, including a research/search assistant
• Help automate the production of recurring research and intelligence deliverables to improve efficiency and quality
• Build reusable tools and workflows that can be applied across multiple subject areas
• Implement appropriate controls for quality, cost, and data governance
• Work with technical experts to review and validate AI-generated output for accuracy
• Support integration with external vendors and internal technology review processes as required

Please note that limited travel may be required for this position (up to 20%).

Minimum Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
• Demonstrated experience building applications with large language models and modern AI/ML frameworks
• Strong programming skills (e.g., Python) and experience with APIs, data pipelines, and cloud services
• Experience with retrieval-augmented generation (RAG), prompt engineering, and evaluation of model outputs
• Excellent communication and organizational skills
• Ability to meet project timelines
• Willing to learn and adapt with emerging technologies
• Proven ability to work in a team with good interpersonal skills
• Self-starter with exceptional attention to detail
• Technically motivated to solve problems and have the creativity to initiate new ideas
• Can-do attitude and independent decision-making abilities
• Passion for innovation, technology, and enterprise development
• Proven record of analytical thinking and problem solving

Preferred Qualifications

• Master's degree in Computer Science, Data Science, or a related field
• 2+ years of experience building and deploying AI/LLM-based systems in production
• Experience with data engineering including but not limited to building and maintaining data pipelines and structured datasets
• Experience automating document-heavy or research and analysis workflows
• Demonstrated project management experience, including using project management tools to improve productivity
• Ability to communicate complex technical concepts effectively with all levels of management and translate them into meaningful project outcomes

About ASTM International

ASTM International is an international standards organization that develops and publishes voluntary consensus technical standards for a wide range of materials, products, systems, and services. Approximately 12,575 ASTM voluntary consensus standards operate globally. Defined and set by ASTM, these standards improve the lives of millions every day. Combined with our innovative business services, they enhance performance and help people around the world have confidence in the things they buy and use. The organization's headquarters is in West Conshohocken, Pennsylvania, about 5 mi (8.0 km) northwest of Philadelphia. Founded in 1898 as the American Section of the International Association for Testing Materials, ASTM International predates other standards organizations such as the BSI (1901), IEC (1906), DIN (1917), ANSI (1918), AFNOR (1926), and ISO (1947).

About ASTM AM CoE:

In March 2018, ASTM International—together with its partners Auburn University, NASA, and EWI—launched the ASTM AM CoE; they were quickly joined in May 2018 by the UK Manufacturing Technology Center (MTC), furthering the CoE's international footprint and complementing its capabilities. In August 2018, NIAR joined the CoE as its first Strategic Partner. ASTM AM CoE's founding partners' mandate, in conjunction with various industrial partners, is to establish industry-specific additive manufacturing standardization, as well as qualification and certification practices, to accelerate and close standard gaps identified in the industry's leading roadmaps (e.g., AMSC roadmap). Leveraging the resources of ASTM AM CoE, ASTM seeks to enhance and refine developed technologies by fostering new collaborations with industry and other government agencies. In tandem with these efforts, ASTM AM CoE also acts as a liaison between industry/government/academia and the standards development community to ensure that technologies are standardized to have the greatest impact on the economy and manufacturing sector while also meeting the needs of industrial and government stakeholders.