Machine Learning Ops Engineer
Singaporeonsitemid
Posted 4w ago · via Workday
About this role
Ensign is hiring ! Key Responsibilities - Own the design, development, maintenance, and evolution of the in-house AIOps / ML / LLM platform, including related cloud and on-premise Kubernetes solutions. - Translate client, security, compliance, and internal requirements into practical platform designs with cross-functional teams. - Build and operate production ML / LLM workflows, including retraining, deployment, inference serving, monitoring, rollback, and optimisation. - Troubleshoot production issues across application, infrastructure, networking, Linux, Kubernetes, and ML serving layers.…
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: typescript, python, go, c++, react…
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 Singapore. We weight your proximity and willingness to relocate.
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.
typescriptpythongoc++reactawsazuregcpkubernetesmlflowkubeflow
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