Senior MLOps Engineer | $165K-$175K + Hybrid + Equity | AI Powered Outage Intelligence SaaS Startup

SaaS Talent is recruiting for an unnamed B2B SaaS outage intelligence company. The Senior MLOps Engineer will build and operate the machine learning platform and supporting data infrastructure, from model training and deployment to production monitoring.

Responsibilities:

• Own and extend the ML platform end to end, including training orchestration, experiment tracking, model registry, deployment, and production monitoring
• Build and operate data pipelines supporting model training and online inference
• Build backend services and APIs that support the deployment and operation of ML models in production
• Design processes for backfills, replays, and recovery when upstream data feeds fail
• Ensure training data accurately reflects what was known at the point in time it represents
• Build and manage reliable processes for moving trained models into production
• Ensure model training runs and results are reproducible
• Monitor deployed model performance over time, including models where outcomes are confirmed later
• Manage training and inference costs as data volume and the number of production models grow
• Contribute to technical architecture design and reviews