Senior Machine Learning Operations Engineer (MLOps) Melbourne, Australia
Core
Design, implement, and maintain end-to-end ML infrastructure and automation solutions, from development to deployment and production monitoring, supporting large-scale ML workloads.
Role type
Senior IC MLOps Engineer
Builds
Robust, scalable AWS cloud infrastructure and automation solutions for data science teams
Domain
iGaming / Entertainment industry + Cloud Infrastructure
Deliverable
infrastructure
Required skills
Terraform, AWS/Azure/GCP, CI/CD pipelines for ML, Docker, Kubernetes, Python scripting
Preferred skills
iGaming experience, petabyte-scale data handling, distributed computing (Spark/Hadoop), observability platforms, data security/governance
Technologies
Terraform, AWS, Azure, GCP, Docker, Kubernetes, Python, Spark, Hadoop
Responsibilities
Lead design and implementation of ML infrastructure; Drive cloud architectural decisions; Implement and maintain CI/CD pipelines; Build and optimize monitoring/alerting/logging; Collaborate with data scientists on infrastructure needs; Provide mentorship to junior engineers
Seniority
Senior, hands-on IC
