Machine Learning Engineer IV

Driving end-to-end computer vision solutions, the full-time salaried Machine Learning Engineer IV will design and train damage detection models while architecting high-throughput serving infrastructure to enhance inspection capabilities in a remote environment. Key responsibilities Design and train high-performance computer vision models for automated damage detection Architect and maintain high-throughput, containerized microservices for model serving Collaborate with business stakeholders to translate complex inspection requirements into scalable ML solutions Required qualifications Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience 5+ years of prior computer vision experience Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL Experience designing and maintaining visual data annotation pipelines for complex image datasets Backend software engineering experience in the cloud (AWS / GCP) focused on microservices