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EasygoBusiness Intelligence

Senior Machine Learning Operations Engineer (MLOps)

Melbourneonsitesenior

via Greenhouse

About this role

Passionate about building and deploying Machine Learning pipelines at scale to drive business value? Join our growing Data Science Team as our first Senior Machine Learning Operations (MLOps) Engineer! What's in it for you? As a Senior MLOps Engineer, you will work within our collaborative Data Science team to help deliver and accelerate multiple machine learning projects across our organisation. Your role with us: In your role with us, you will enhance our machine learning operations (MLOps), delivering: robust, scalable AWS cloud infrastructure and automation solutions, that empower our data science team. You will get the opportunity to work with petabyte-scale data across our global platforms, directly impacting millions of users. Who are we?…

Read the full description on Easygo'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, aws, azure, gcp, kubernetes…

2

Level fit

This role is senior-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 Melbourne. We weight your proximity and willingness to relocate.

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Skills in this role

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

pythonawsazuregcpkubernetesdockersparkhadoop

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