MLOps Engineer

Job description

Transform the future of insurance through purpose-driven technology Enzo is a B2B PropTech & WaterTech startup redefining how the property insurance and real estate industries prevent water damage. With our proprietary IoT & AI solution, one.drop , we enable insurers to protect properties before damage occurs, turning reactive claims management into proactive risk mitigation. At Enzo, AI models only matter if they run reliably, efficiently, and at scale. As our MLOps Engineer, you’ll own the bridge between model development and real-world production, ensuring our AI systems can process millions of sensor data points per day with high performance, reliability, and observability. You’ll work closely with AI engineers, backend engineers, and the founding team to professionalize our ML infrastructure and deployment pipelines. This is a hands-on, high-impact role with real ownership from day one. Tasks: Role Overview: As MLOps Engineer, you are responsible for turning ML prototypes into production-grade systems. Your mission is to design, build, and operate a robust ML platform, from data ingestion to inference, monitoring, and CI/CD, that scales with Enzo’s growth and supports fast ite...