Mane Consulting is seeking an experienced ML/DevOps qualified to own end-to-end ML lifecycle, from data prep to deployment and monitoring. You will collaborate with data scientists and platform teams to ensure reliable and scalable model delivery in production.
Responsibilities include building scalable ML pipelines, implementing robust CI/CD for ML assets, and maintaining cloud and on-prem settings. You will advance MLOps practices and maintain comprehensive documentation.
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📌 Mlops Engineer: Build Reliable, Scalable Ml Pipelines Melbourne (Australia)
🏢 Mane Consulting
📍 Australia
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