Senior MLOps Engineer | $165K-$175K + Hybrid + Equity | AI Powered Outage Intelligence SaaS Startup
Core
Build and operate the end-to-end MLOps platform for a SaaS outage intelligence system, covering training orchestration, deployment, monitoring, and data infrastructure.
Role type
Senior MLOps Engineer (Infrastructure & Platform)
Builds
Production ML platform, data pipelines, backend services, and APIs for model serving.
Domain
B2B SaaS / Outage Intelligence / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Python, Kubernetes, PostgreSQL, Workflow orchestration, Experiment tracking, Model registry, Data pipeline management, Backend engineering, Cost optimization
Preferred skills
Geospatial systems, Time series systems, Real-time data flows, Infrastructure as code
Technologies
Python, Kubernetes, PostgreSQL
Responsibilities
Own and extend the ML platform end-to-end; Build and operate data pipelines for training and inference; Design recovery processes for data feed failures; Monitor deployed model performance; Manage training and inference costs; Contribute to technical architecture design.
Seniority
Senior, hands-on IC
