MLOps engineer

mid

Posted 6 days ago · via Teamtailor

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About this role

Job Description We are looking for a MLOps w/ DevOps Engineer with strong experience in cloud automation and deployment pipelines, primarily on AWS. You will play a key role in designing, implementing, and maintaining scalable, efficient infrastructure solutions to data pipelines, inference, observability. This role is ideal for someone who enjoys solving complex problems, improving operational processes, and contributing to reliable, scalable systems. It requires knowledge to design a system from scratch in an emerging data solution. Responsibilities ● Design and maintain SageMaker workloads for building, testing, and deploying models in cloud environments. ● Automate infrastructure provisioning using gitops and infrastructure as code (Terraform, Ansible or equivalent).…

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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.

Skills match

For this role: python, aws, sagemaker, kubernetes, docker…

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in a specific location. 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.

pythonawssagemakerkubernetesdockerterraformansiblegithub actionskafkagithubteams

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