Australia
ES
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Description:
- Seeking a Senior MLOps Engineer to lead the development and operation of machine learning systems on AWS.
- Role involves technical leadership, managing the experimental lifecycle, and ensuring productionized ML systems are reliable and efficient.
Requirements:
- 5+ years of experience in MLOps, DevOps, or Software Engineering with a focus on machine learning infrastructure.
- Strong familiarity with AWS services (SageMaker, EC2, EKS, Lambda) and MLOps tooling (Metaflow, MLflow, Terraform, Kubernetes).
- Proven experience in building event-driven or distributed systems and a proactive approach to cloud cost optimization and security.
Benefits:
- Recognition as one of Australia’s Best Workplaces™ and a Family Friendly Workplace.
- 24 weeks paid parental leave for primary caregivers and various wellbeing initiatives.
Job title
Experience level
Required experience
5 years
Salary
-
Degree requirement
No degree requiredLocation requirements
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