R
RacknerEngineering

MLOps Engineer — AI/ML Systems Deployment (TS/SCI Preferred)

Daytononsitemid

via Greenhouse

About this role

MLOps Engineer — AI/ML Systems Deployment Location: Dayton, OH preferred Work Arrangement: On-site preferred; remote may be considered for highly aligned, clearance-ready candidates able to support secure / CAC-enabled environments and travel as needed Clearance: Active TS/SCI strongly preferred; active Secret may be considered for upgrade Requirement: U.S. citizenship required Build and Deploy Real-World AI Systems Rackner is hiring an MLOps Engineer to move AI/ML systems from prototype → deployment → operational use in a secure, mission-focused environment. This is not a research role—this is where models become reliable, repeatable, auditable systems that run in real-world conditions. This role is ideal for engineers who want to:…

Read the full description on Rackner's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, kubernetes, docker, grafana, prometheus…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Dayton. We weight your proximity and willingness to relocate.

Score yourself on this role.
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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonkubernetesdockergrafanaprometheusopentelemetryairflowmlflowkubeflow

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