Staff MLOps Engineer: Scale AI Inference for Grid (Hybrid)

AiDash; Palo Alto (CA); Hybrid; USD 230,000 - 270,000; Full time

Benefits offered by this job

Medical, Dental, Vision coverage

HRA funding for deductibles

Parental leave

Job summary

AiDASH, a leader in PreventionFirst technology for utilities, seeks a Staff MLOps Engineer to architect the operational backbone of a brand-new Data Inference AI Pipeline. You’ll shape deployment, scaling, and cost decisions from day one, and set engineering standards the team will follow as it grows.

As the first engineer on this team, you’ll influence culture and choices while reporting to the Director of Engineering.

Qualifications

• 7-10+ years in software/ML engineering, incl. 3+ years MLOps/infrastructure
• Hands-on AWS SageMaker for model deployment/serving
• Experience designing elastic, cost-efficient prod systems
• Strong containerization and CI/CD for ML workloads
• Ability to set technical direction as a Staff-level IC

Responsibilities

• Own the model deployment pipeline end-to-end (packaging, versioning, rollout, rollback)
• Design inference infrastructure that scales with real-time/batch demand
• Manage cost-per-inference and autoscaling strategies
• Build monitoring, alerting, and disaster recovery for the inference stack
• Partner with Data Science and Web App teams to ensure reliable production deployments
• Define engineering standards and influence future teammates

Skills

MLOps

Cloud infrastructure

Cost optimization

Systems design

Ownership mindset

Tools

AWS SageMaker

Docker

Kubernetes

ML CI/CD

Monitoring & drift tooling

Job description

AiDASH, a leader in PreventionFirst technology for utilities, seeks a Staff MLOps Engineer to architect the operational backbone of a brand-new Data Inference AI Pipeline. You’ll shape deployment, scaling, and cost decisions from day one, and set engineering standards the team will follow as it grows.

As the first engineer on this team, you’ll influence culture and choices while reporting to the Director of Engineering.