ML Ops Engineer | Must work on W2

Role: ML Ops Engineer
Location: Remote

Positioned as ML engineering support with a big ML Ops focus, aimed at automating as much of the machine learning pipeline as possible. Described as build-out oriented: a lot exists already, but there is room to build out further.

Responsibilities discussed

• Automate ML pipelines; strong ML Ops emphasis.
• Build out ML Ops capability (development-oriented). Platform management sits with IT and is outside the team's scope.
• Bring an outside perspective to advise the team on what they could do better ("come in and tell us what we're doing wrong").

Technical environment

• Heavily in the Azure world, including Azure AI Foundry.
• The team does not manage the platform itself (IT restrictions), so this is development-focused rather than platform/ops administration.

Persona

• Outside/enterprise experience valued.
• Someone who can advise and even tell the team what to do, not just execute.
• Could realistically be more than one person; recruiting could provide a mix of folks.

Open items

• Exact split between building new components vs. optimizing existing ones was left broad ("potentially building out").

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Asher Williams
Desk: 2o1.497.1o1o X:1o5 | Direct: 551.272.o129
asher (at) pullskill dot com