~23%
Of enterprises have AI in production
IT vertical · live
Data & MLOps talent — certified before you meet them.
Data and MLOps is the real bottleneck behind every AI initiative. Only about a quarter of enterprises have AI in production; the rest are blocked not by models but by the pipelines, platforms, and operational discipline to run them. We place the engineers who build that foundation.
The real AI bottleneck — shipping to productionTranscripts on every profile3 profiles, not 200
identity redacted · revealed at interviewData EngineerIT · Data & MLOps Certified · Grade A№ 0212 · verify in 60 secScreened liveJul 10 · 47 minExperience9 yrs · data platformsAvailablein 2 weeksSparkdbtAirflow
Screened live47 min · a practitioner
Slate readyin 2 days
The Data & MLOps roles we place
Pick the role. Meet your three.
How we screen this market
Domain-deep, evidence-first.
Ships to production
We vet for engineers who run reliable pipelines and platforms, not one-off scripts.
Stack-matched
We match precisely to your warehouse and orchestration stack so ramp is days, not months.
Academy-fed
Our Academy trains data and platform engineers — our biggest supply lever.
SparkdbtAirflow / DagsterSnowflake / Databricks / BigQueryKafkaPython & SQLTerraform / IaCCloud data platforms
Where we place Data & MLOps talent
Fair questions
Before you brief us
Data engineers or data scientists?
Data and platform engineers — the production layer. We place applied data scientists too, but the scarcity is in engineering.
Do you match to our stack?
Yes — we submit to your specific warehouse, orchestration, and cloud so candidates are productive immediately.
Can you stand up our whole data platform?
Yes — via Delivery Teams we can build and operate the platform, not just staff seats.
The guarantee
Three certified Data & MLOps specialists. Transcripts attached.
Brief us today; the slate lands within two days. If we don't have three great fits, we say so — and tell you when we will.
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