Das ist der Job
At Enzo, AI models only matter if they run reliably, efficiently, and at scale.
Darum lohnt es sich
You’ll work closely with AI engineers, backend engineers, and the founding team to professionalize our ML infrastructure and deployment pipelines. 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.
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. 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 iteration.
Level: Senior or Mid (5+ Years experience) Stack: Python, TypeScript, GCP ** What You’ll Do** ML Infrastructure & CI/CD Design and implement CI/CD pipelines for ML training and inference. Build reproducible, versioned model deployment workflows. Improve environment parity across dev, staging,
