MLOps Engineer ID72409 at AgileEngine
Frisco, TX
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Jul 20, 2026
Frisco, TX
Jul 29, 2026
What this job asks for AI summary
This onsite Dallas role centers on bridging AI/ML research and production systems — building and maintaining the infrastructure, CI/CD pipelines, and automation needed to deploy models reliably at scale. Day-to-day work includes setting up drift detection, production monitoring dashboards, experiment tracking, and model versioning, as well as managing cloud environments and GPU compute resources. It suits engineers with a background spanning MLOps, DevOps, or ML who are comfortable with containerization and working alongside data scientists.
Mid level · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 17 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 880 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (software developers). range 180–1,350
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $136,221 (middle half $107,984–$167,709).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The title 'Middle/Senior MLOps Engineer' uses 'Middle' (a common Eastern European convention for Mid-level) alongside 'Senior', so the advertised seniority is treated as Mid — the lower of the two bands — per the tiebreaker rule.
SOC classification is Medium confidence: the role is primarily about building and shipping ML infrastructure and pipelines (pointing to 15-1252 Software Developers), but has meaningful overlap with 15-2051 Data Scientists given the ML fundamentals and model lifecycle ownership.
The degree requirement states 'Degree in Computer Science… or equivalent practical experience', which is treated as no hard degree gate.
No specific cloud platform (AWS, GCP, Azure) is named in the posting; 'cloud environments' is captured as a general required skill.
No compensation figures are provided; the posting only notes USD-based pay.
The posting explicitly requires onsite presence in Dallas, TX — remote is not available despite a mention of 'remote and office options' in the perks section, which appears to be a general company benefit rather than applicable to this specific role.
Read the full posting
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