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Faktionbv1Machine Learning

MLOps Engineer

Antwerphybridmid

Posted 11mo ago · via Recruitee

About this role

Creating a robust machine learning infrastructure for production use is a significant hurdle for many of our large-scale clients transitioning towards AI-centric operations. This role presents a unique opportunity for a seasoned MLOps engineer or server-side developer to deepen their expertise in this emerging field and spearhead the formation of our inaugural MLOps team, sharing their knowledge across our organization. In the role of MLOps Engineer , you'll be at the forefront of deploying cutting-edge AI solutions for Faktion’s enterprise clients. Consider a scenario where Faktion’s data scientists have developed a groundbreaking system that can automatically interpret and process thousands of images for a major manufacturing plant.…

Read the full description on Faktionbv1'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, azure, kubernetes, terraform, serverless…

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 Antwerp. 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.

pythonazurekubernetesterraformserverlessgithub actionskafkapytorchtensorflowkerasgithub

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