Machine Learning Ops Engineer

Singaporeonsitemid

Posted 1w ago · via Workday

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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.…

Read the full description on Ensign Infosecurity (Cybersecurity) Pte'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.

Skills match

For this role: typescript, python, go, c++, react…

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 Singapore. We weight your proximity and willingness to relocate.

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Free · no card · written explanation included

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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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