Construction AI Engineer: LLMs, MLOps & Edge Deployment

CES ENGINEERING & CONSTRUCTION PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

CES ENGINEERING & CONSTRUCTION PTE. LTD. in Singapore seeks an experienced ML/Ops Engineer to develop, deploy, and productionize AI models for construction management tasks. You will build LLM-based solutions to process contracts, reports, and safety manuals, with edge deployment for on-site operation.

You will collaborate with civil and software engineers to ensure model quality, scalability, and reliable data pipelines, leveraging BIM/IFC workflows and modern MLOps practices.

Qualifications

• Recognized degree in Civil Engineering or Computer Engineering or equivalent Engineering field.
• Minimum of 3 years' of experience in building and deploying machine learning models in production.
• Experience in the AEC industry is desirable but not mandatory if you have a strong AI portfolio.
• Proficient in Python, Java or similar languages; strong coding practices with Git.

Responsibilities

• Model Development & Deployment: fine-tune LLMs for construction drawings recognition and predictive analytics.
• Data Engineering & Preparation: gather data from ERP, project management, and sensor networks; clean and transform data for training.
• Productization & MLOps: move models to production with scalable APIs and microservices for front-end apps used by PMs, Safety Officers, and QSs.
• Collaboration & Optimization: work with digitalisation engineers and end users to improve model accuracy, speed, and reliability.

Skills

Python

Java

Git

SQL

Education

Civil Engineering or Computer Engineering degree

Tools

TensorFlow

PyTorch

LangChain

LlamaIndex

Vector databases

BIM/IFC

Job description

CES ENGINEERING & CONSTRUCTION PTE. LTD. in Singapore seeks an experienced ML/Ops Engineer to develop, deploy, and productionize AI models for construction management tasks. You will build LLM-based solutions to process contracts, reports, and safety manuals, with edge deployment for on-site operation.

You will collaborate with civil and software engineers to ensure model quality, scalability, and reliable data pipelines, leveraging BIM/IFC workflows and modern MLOps practices.