Zensors

Zensors is seeking an ML / DevOps Engineer to advance its infrastructure, scale enterprise deployment workflows, and refine automation architectures. This role sits at the intersection of machine learning and systems engineering, requiring deep expertise in cloud-native tools, Linux systems, and networking for reliable and secure processing of high-throughput video data across cloud and edge environments.

The AI Infrastructure team at Zensors builds the engine that powers our visual sensing platform, providing tools to automate the entire AI workflow from model development to monitoring. As a Machine Learning Engineer, you will focus on developing technologies to accelerate the training and inference of computer vision models, crucial for smart spaces and cities. This role involves optimizing core ML pipelines, collaborating across teams, and applying advanced model optimization techniques to enhance performance and reduce costs.