AI & Data Engineer
Summary
Builds and maintains AI/LLM tools, data pipelines, and platform AI features (including a research/search assistant) for ASTM International's AM CoE Market Intelligence team in Singapore, automating research and intelligence deliverables with Python, RAG, prompt engineering, and cloud services.
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
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