Senior MLOps Engineer Wanted
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We're seeking a skilled Senior MLOps Engineer to join our team in Canberra.
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The ideal candidate will have extensive experience with ML Ops lifecycle, CI/CD, and ML deployment practices.
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Key responsibilities include designing and implementing end-to-end MLOps pipelines and production ML infrastructure, deploying, monitoring, and optimising machine learning models at scale, collaborating with data scientists and engineers to ensure reliability and performance, and building and integrating solutions using open-source and enterprise-grade tools.
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Requirements include a strong background in Python, Kubernetes, Docker, and data engineering workflows, familiarity with tools like MLFlow, Ray, KubeFlow, or equivalent ML platforms, and an active TSPV clearance.
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Location: Canberra. Contract duration: 12 months with 2 x 12-month extension options.
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Applicants must hold a valid security clearance due to the nature of this environment.
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This role is open to Australian citizens with a valid security clearance.
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Apply now by registering your interest through our website.
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