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 datasetsCore 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 plusNice to Have•      GIS/geospatial tooling familiarity•      Experience in building-inspection or similar regulateddomains•      Image restoration/enhancement or thermal imageryanalysis experience