MLOps Engineer
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Summary
MLOps Engineer in Melbourne who takes machine learning models out of notebooks and into production — owning the end-to-end ML lifecycle, building robust automated pipelines, and ensuring models are deployed reliably, monitored effectively and scaled, in collaboration with data scientists, software engineers and platform teams.
Become part of a dynamic team setting new standards in intelligence services, data and AI technologies. Take machine learning out of notebooks and into real‑world production environments. In this role, you'll own the end‑to‑end ML lifecycle, working with data scientists, software engineers and platform teams to ensure models are deployed reliably, monitored effectively and scaled with confidence. If you enjoy building robust pipelines, automating the messy parts of ML delivery, and shaping best…
