Staff MLOps Engineer: Scalable AI Deployment Leader

AiDASH, Inc.; Palo Alto (CA); Hybrid; USD 230,000 - 270,000; Full time

Benefits offered by this job

Medical, Dental, Vision

HRA coverage

401(k) plan

Parental leave

20 vacation days

Winter break

Job summary

AiDASH, Inc. in Palo Alto, CA is seeking a Staff MLOps Engineer to architect the operational backbone for a new Data Inference AI Pipeline. You will define deployment strategies, scale inference, control costs, and ensure reliability from day one.

As the first dedicated engineer on the team, you’ll shape standards, tooling, and collaboration with Data Science and Web teams, setting a foundation that future teammates will build upon.

Qualifications

• 7–10+ years in software/ML engineering with 3+ years in MLOps or ML infrastructure.
• Hands-on production experience with AWS SageMaker for deployment and serving.
• Experience designing elastic, cost-optimized production systems with failover.

Responsibilities

• Own the model deployment pipeline end-to-end from training to production.
• Design and maintain inference infrastructure that scales with real-time/batch demand.
• Set CI/CD patterns for model releases, testing, and canary deployments.
• Partner with Data Science and Web teams to align latency and reliability.
• Define cost models, autoscaling, and disaster-recovery procedures.

Skills

MLOps / ML infra

AWS SageMaker

Containerization (Docker, Kubernetes)

CI/CD for ML

Cost/perf metrics ownership

Staff-level IC leadership

Ownership mindset

Tools

Docker

Kubernetes

ML CI/CD tooling

Job description

AiDASH, Inc. in Palo Alto, CA is seeking a Staff MLOps Engineer to architect the operational backbone for a new Data Inference AI Pipeline. You will define deployment strategies, scale inference, control costs, and ensure reliability from day one.

As the first dedicated engineer on the team, you’ll shape standards, tooling, and collaboration with Data Science and Web teams, setting a foundation that future teammates will build upon.