AI Engineer – Computer Vision & Vision-Language Models

Our client is a Singapore-basedAI company that uses computer vision to analyse drone and telephoto imagery ofbuilding exteriors, detecting defects such as cracks, spalling and corrosionfor building-compliance inspections. Their production environment runs on AWSwith a GPU compute fleet supporting photogrammetry, 3D reconstruction and AImodel training/serving.

What You'll Do

• Own and modernise the production defect-detection andclassification model stack

• Migrate legacy computer-vision workloads to supportedruntimes and modern serving infrastructure

• Design and run a structured evaluation of managed vs.self-hosted vision-language models (VLMs)

• Operate distributed inference and GPU batch processingpipelines on AWS

• Contribute computer-vision stages to photogrammetry and3D reconstruction pipelines

• Build dataset curation, annotation and evaluationworkflows over large-scale imagery data

• Establish model evaluation benchmarks and versionedground-truth datasets

Core Key Skills

• 2+ years of ML/computer-vision engineering with modelsin production

• 2+ years running training/inference on AWS (EC2 GPUand/or SageMaker)

• Strong PyTorch and CUDA/GPU engineering background

• Recent hands-on experience with vision-language ormultimodal models

• Python and boto3 automation (S3, EC2, SSM, Lambda)

• Model serving experience (e.g. TorchServe, Docker onEC2)

• Comfortable administering both Linux and Windows GPUhosts

• Experience with photogrammetry, 3D reconstruction (e.g.NeRF/Gaussian Splatting) or drone/geospatial imagery is a strong plus

Nice to Have

• GIS/geospatial tooling familiarity

• Experience in building-inspection or similar regulateddomains

• Image restoration/enhancement or thermal imageryanalysis experience