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