Senior MLOps Engineer
Remoteremotesenior
via Greenhouse
About this role
Senior MLOps Engineer
The Role
As a Senior MLOps Engineer, you will be the backbone of our AI production lifecycle. You will bridge the gap between research and real-world application, ensuring our Data Scientist, AI Researchers, Product teams and others in the company have the high-performance infrastructure, automated pipelines, and deployment strategies needed to ship state-of-the-art models and agents at scale.
Who We’re Looking For
5+ years experience with cloud infrastructure and infrastructure as code.
Previous experience with the ML and LLM lifecycle - training, hosting, optimisation, observability.
Used to working closely with researchers and data scientists - taking experiments from worksheets into production.
Strong grasp of ML fundamentals and modern GenAI stack.…
What we'd score you on
reqspace match rubricFive 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: aws, serverless, github actions, claude, mlflow…
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 remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
awsserverlessgithub actionsclaudemlflowvertex aigithubteams