Artificial Intelligence Engineer

2 days ago

Singapore AECOM Full time

Overview
Join to apply for the
Artificial Intelligence Engineer
role at
AECOM .
We are looking for innovative and motivated professionals to join our Digital team as AI Engineers / Machine Learning Engineers, supporting the development and deployment of advanced AI solutions. You will work closely with senior architects and cross-disciplinary teams to apply artificial intelligence, particularly large language models (LLMs) and machine learning (ML), to solve complex challenges in the built environment. From infrastructure systems to building design, you will contribute to the development of AI-enabled tools that enhance automation and optimisation across engineering workflows.
This position requires hands-on expertise in Python programming, machine learning techniques, and experience with LLMs. You will play a vital role in implementing and maintaining scalable, reliable, and user-focused AI solutions. Join us in transforming how infrastructure is designed and delivered, through bringing cutting-edge technologies to address some of the most pressing challenges in our cities and communities.
Responsibilities
Develop and fine-tune AI/ML models to ensure alignment with regulatory requirements and core engineering principles.
Leverage spatial data, 3D models, engineering constraints, and historical/analogue records to improve design accuracy, safety, and efficiency.
Combine rule-based logic and machine learning techniques to build robust scripts and scalable model training pipelines using Python.
Proficiency in Python and ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn), along with geospatial libraries (e.g., GeoPandas, Shapely, ArcPy, FME).
Develop and deploy AI tools into engineering workflows via APIs, dashboards, or custom plug-ins integrated with existing tools (e.g., ArcGIS, AutoCAD Civil 3D, Revit, Rhino).
Collaborate with civil engineers, utility specialists, and GIS/BIM specialists to translate infrastructure planning and design challenges into AI-powered solutions.
Qualifications
Bachelor's, Master's, or PhD in Computer Science, Data Science, Artificial Intelligence, or a related engineering discipline. Candidates with advanced degrees (Master's or PhD) are preferred.
2+ years of experience in AI/ML development, preferably in domains such as spatial/geometric analysis, geospatial data, or engineering applications.
Proficient in Python and familiar with relevant ML/DL tools and libraries.
Strong understanding of data pipelines, statistical methods, and model evaluation techniques.
A strong team player with excellent communication skills and the ability to collaborate effectively across technical and non-technical stakeholders.
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