AI and Data Engineer

In response to the expansion into new emerging areas in recent years, the ASTM Critical and Emerging Technologies (CET) Division 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 CET Division 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 reportsas well as landscape analysis to help organizations adopt AM andother Advanced Manufacturing technologies. Some of these projects area result of cross-continent efforts coordinated and supported by the AMCoE. We are seeking a AI & Data Engineer to join the AM CoE's Market Intelligence team. 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. Please note that some travel may be required for this position (up to 20%).

• 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
• Provenability 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
• Passionfor innovation, technology, and enterprise development
• Proven record of analytical thinking and problem solving

• 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 workflowsDemonstrated 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

ASTM International's Critical and Emerging Technologies (CET) Division convenes industry, government, and academia, accelerating the path to standards for the technologies reshaping the global economy. The division engages these technologies at the intersections where standards are needed most, which creates the opportunity to develop standards alongside technologies rather than years after they have spread across society.Its work runs in three stages: pre-standardization gap identification, consensus-based standardization, and post-standardization adoption support. Its technical committees cover additive and advanced manufacturing, artificial intelligence in manufacturing systems, autonomous systems and robotics, commercial spaceflight, and unmanned aircraft systems, delivered through the ASTM AM Center of Excellence, the ASCET Center of Excellence, Wohlers Associates, and the ICAM conference. Roughly 60 staff operate across 12 timezones and four continents. The division moves at the pace of the industries it serves, and it holds the work to the evidence.

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