Senior Data Engineer, MLOps [Remote-US]
Quanata(1 month ago)
About this role
A Senior Data Engineer (MLOps) at Quanata focuses on enabling reliable, scalable machine-learning capabilities that support the company’s context-based insurance products. The role works with cross-functional teams to accelerate model delivery and ensure production readiness, contributing directly to product and business outcomes. The position supports Quanata’s mission by helping build and maintain the platform that makes data science models usable in production.
Required Skills
- MLOps
- ML Pipelines
- Feature Store
- Real-time Inference
- CI/CD
- Model Monitoring
- IaC
- Terraform
- Python
- Docker
+14 more
Qualifications
- Bachelor Degree
About Quanata
quanata.comHiroad appears to be a client-side platform for managing on-site experiences, analytics, and integrations. Their JavaScript SDK/configuration focuses on telemetry and observability (including distributed tracing and New Relic integration), feature lifecycle control, and runtime widgets like chat and autofill handlers. The product surfaces configuration-driven services so publishers and developers can deploy features and ads without full releases while preserving performance and monitoring. Customers use the platform to deliver targeted user experiences with built-in instrumentation and third‑party service support.