AECOM

2 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Join the Digital team as an AI Engineer developing AI/ML solutions for the built environment. You will apply LLMs and ML to help automate and optimize engineering workflows, work with senior architects and cross-disciplinary teams, and deploy AI-enabled tools integrated with ArcGIS, AutoCAD Civil 3D, Revit, and Rhino. Strong Python, ML, and geospatial skills are essential to improve design accuracy, safety, and efficiency.

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key 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).

Pay and Benefits

Perks:MedicalDentalVisionEquity

Key Requirements

•Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Artificial Intelligence, or related engineering discipline; advanced degrees preferred.
•2+ years of experience in AI/ML development, preferably in spatial/geometric analysis, geospatial data, or engineering applications.
•Proficient in Python and familiar with ML/DL tools and libraries.
•Strong understanding of data pipelines, statistical methods, and model evaluation techniques.
•Excellent communication and collaboration skills to work with technical and non-technical stakeholders.

Experience:2+ yearsGeospatialAIMLLLMsPython

Education:Bachelor's in Computer Science

Skills:CommunicationTeamworkProblem-solving

Languages:English

Tech Stack:PythonPyTorchTensorFlowScikit-learnGeoPandasShapelyArcPyFMEArcGISAutoCAD Civil 3DRevitRhino

Company Brief

AECOM

AECOM is a global infrastructure firm providing design, consulting, construction, and management services across transportation, buildings, water, environment, and energy sectors, delivering large-scale projects for public- and private-sector clients worldwide.

Industry: Civil Engineering

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Angeles, United States

Founded: 1990

Glassdoor: 3.6

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

AECOM

2 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key 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).

Pay and Benefits

Perks:MedicalDentalVisionEquity

Key Requirements

•Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Artificial Intelligence, or related engineering discipline; advanced degrees preferred.
•2+ years of experience in AI/ML development, preferably in spatial/geometric analysis, geospatial data, or engineering applications.
•Proficient in Python and familiar with ML/DL tools and libraries.
•Strong understanding of data pipelines, statistical methods, and model evaluation techniques.
•Excellent communication and collaboration skills to work with technical and non-technical stakeholders.

Experience:2+ yearsGeospatialAIMLLLMsPython

Education:Bachelor's in Computer Science

Skills:CommunicationTeamworkProblem-solving

Languages:English

Tech Stack:PythonPyTorchTensorFlowScikit-learnGeoPandasShapelyArcPyFMEArcGISAutoCAD Civil 3DRevitRhino

Company Brief

AECOM

Industry: Civil Engineering

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Angeles, United States

Founded: 1990

Glassdoor: 3.6

Website LinkedIn Glassdoor