ML Platform

Transform the future of insurance through purpose-driven technology

Enzo is a B2B PropTech & WaterTech startup redefining how the insurance and real estate industries prevent water damage. With our proprietary AI solution, , we enable insurers to protect properties before damage occurs - turning reactive claims management into proactive risk mitigation.

Trusted by leading insurance innovators and backed by top-tier investors, Enzo is on a mission to become the standard for water risk prevention in building insurance. We've proven that insurers can thrive in the face of climate and infrastructure challenges - with Enzo as their technological ally.

Role Overview

As a platform-leaning MLOps team lead, you will make our TypeScript/Python data & model pipelines boringly reliable - and to set the technical bar for AI engineers to drive development forward. You'll own orchestration, data quality, observability, CI/CD, and secure operations in the cloud. You won't spend your days training models, but you'll lead discussions, define the standards that make models reliable, fast, and measurable in production.

Level: Senior (5+ Years experience)

Stack: Python, TypeScript, GCP

**What You'll Do**

• Stabilize pipelines end-to-end: design for idempotency, backfills, SLAs/SLOs
• Own orchestration: Airflow/Cloud Composer or Workflows; schedule, retry, and lineage for ETL/ELT and model steps
• Lead AI engineering standards: define evaluation harnesses, prevent leakage/train-serve skew, monitor data/feature drift, and run canary/shadow releases; maintain integration in Enzo systems, enforce data quality & contracts
• Secure & cost-aware: least-privilege IAM, Secret Manager/KMS, VPC/SVPC, retention/DLP; track and optimize spend
• Ship with confidence: CI/CD for services, pipelines, and DB migrations (Cloud Build/GitHub Actions); promote dev→staging→prod
• Create golden paths: templates, docs, and tooling that make doing the right thing the easiest thing
• Coach & collaborate: review designs/PRs, mentor AI engineers, and drive a learning culture

You cover the following requirements

• Advanced degree in Artificial Intelligence, Computer Science, Mathematics, or a related engineering field, with a track record of professional excellence
• Deep expertise in SQL and Python, coupled with proficiency in machine learning frameworks (e.g. PyTorch)
• Demonstrated strong experience in time series prediction, with a comprehensive understanding of various methodologies and their practical applications
• Familiarity with TypeScript is advantageous, enhancing the integration of AI solutions within broader technology stacks
• Exceptional command of the English language, with exemplary communication skills to articulate complex technical concepts to diverse audiences

Why Join Enzo

• Mission-driven innovation: Help insurers move from paying for damage to preventing it
• Direct impact: Your work shapes how an entire industry tackles one of its biggest cost drivers
• Autonomy & ownership: Freedom to design, test, and evolve our AI models
• Culture of builders: Work alongside a team that values integrity, curiosity, and execution
• Flat hierarchies, honest and direct communication with an open-minded startup culture
• Free brainfood: unlimited coffee, snacks, drinks, fresh fruits and more
• Great career and personal development opportunities - we want you to grow with us

If you're ready to redefine what partnership means in the insurance industry - and help insurers succeed with Enzo as their trusted innovation partner - we'd love to hear from you.