Senior MLOps Engineer - Production ML Pipelines (Hybrid)
Talent is hiring a Senior MLOps Engineer (hybrid, Sydney) to support a major Australian Federal Government organisation. The role designs and operates automated MLOps pipelines, data workflows and containerised ML environments using Kubernetes and OpenShift AI, covering testing, release management, model monitoring and responsible AI practices.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Senior-level experience in MLOps
- Designing and operating automated MLOps pipelines
- Building containerised ML environments with Kubernetes and OpenShift AI
- Building data workflows
- Deploying secure, scalable ML solutions in collaboration with data scientists and engineers
- Testing, release management and model monitoring
- Applying responsible AI practices
Full description
Talent is seeking a Senior MLOps Engineer to support a major Federal Government organisation. You will design and operate automated MLOps pipelines, build data workflows and containerised ML environments with Kubernetes and OpenShift AI.
Collaborate with data scientists and engineers to deploy secure, scalable ML solutions. Responsibilities include testing, release management, model monitoring and responsible AI practices.