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EasygoBusiness Intelligence

Senior Machine Learning Engineer

Melbourneonsitesenior

via Greenhouse

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About this role

Who are we? Easygo is the engine behind some of the entertainment industry's biggest brands, including Stake.com Kick.com Stake Engine and Easygo Games. Easygo is the force behind brands with global reach, through products and platforms people actually choose to experience. We do what’s exciting, not expected. That means big ideas, tight execution, and teams that are trusted to ship, learn, and ship again. Passionate about building and deploying Machine Learning pipelines at scale to drive business value? What's in it for you? As a Senior Machine Learning 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:…

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.

Score yourself on this role.
Free · no card · written explanation included
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Skills in this role

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

pythonawsazuregcpkubernetesdockerteams

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