Senior MLOps Engineer

📋 Description

• Lead architecture, tooling, debugging, and production design for ML systems.
• Own the transition from experimentation to production ML.
• Systematize ML delivery with reusable deployment patterns.
• Establish telemetry from live models to guide experimentation.
• Reduce ML costs and security risk through rightsizing and secure practices.
• Share knowledge and mentor engineers with hands-on guidance.

🎯 Requirements

• Strong AWS ML stack: SageMaker, EC2, EKS, Lambda.
• 5+ years in MLOps/DevOps/Software Eng with DS lifecycle.
• CI/CD, model registries; orchestration: Metaflow/MLflow/Terraform/Kubernetes.
• Proven track record building event-driven or distributed systems.
• Cloud cost optimization, security, IAM; clean code and improvement.

🎁 Benefits

• Hybrid working with remote flexibility and in-person collaboration.
• Recognised as Australia’s Best Workplaces by Great Place to Work.
• 24 weeks paid parental leave for primary caregivers.
• Regular hackathons and continuous learning opportunities.
• Wellbeing initiatives supporting mental, emotional and physical health.
• Circle Back Initiative employer; equal opportunity.