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TeampicnicEngineering

Machine Learning Platform Engineer

Amsterdamonsitemid

via Greenhouse

About this role

In a nutshell You’ll work on building the tools and infrastructure to help our Machine Learning Engineers build and productionize robust machine learning models. Working closely with ML Engineers, you’ll identify opportunities to improve the machine learning lifecycle at Picnic. From tools that improve model experimentation, to automations that simplify model deployment. You will collaborate with other platform teams at Picnic to make sure our tech stack remains aligned with the rest of the Tech team, while building and integrating the solutions that solve the problems unique to machine learning systems. Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning Tricks of the trade Various MLOps-oriented projects to:…

Read the full description on Teampicnic'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, rest, kubernetes, docker, terraform…

2

Level fit

This role is mid-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 Amsterdam. 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.

pythonrestkubernetesdockerterraformteams

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