Staff MLOps Engineer: Scalable AI Deployment Leader
aidashPalo Alto (CA)
Staff MLOps Engineer: Scalable AI Deployment Leader
Posted today
aidashPalo Alto (CA)
SENIORITY
Lead
About the role
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.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.