Senior ML Ops Engineer | Hybrid + Equity | AI Powered Outage Intelligence SaaS Startup
Core
Building and operating the end-to-end ML platform for a B2B SaaS outage intelligence system, covering training, experimentation, deployment, and production monitoring.
Role type
Senior IC MLOps Engineer
Builds
Production ML infrastructure, data pipelines, and model serving systems for real-time outage intelligence
Domain
SaaS / Infrastructure Monitoring / Machine Learning
Deliverable
production ML models
Required skills
Python, Kubernetes, PostgreSQL, workflow orchestration, infrastructure as code, data pipeline management, model training orchestration, experiment tracking, model registry, production monitoring, cost management
Preferred skills
Geospatial systems, time series systems, large real-time data flows, experience in data intelligence companies
Technologies
Python, Kubernetes, PostgreSQL
Responsibilities
Own and extend the ML platform end-to-end; Build and operate data pipelines for training and inference; Design processes for data recovery and backfills; Monitor deployed model performance; Manage training and inference costs; Contribute to technical architecture design
Seniority
Senior, hands-on IC
