About this role
Senior Machine Learning Operations Engineer (MLOps) at Easygo. Location: Melbourne, Victoria, Australia. Role: Lead design, Drive infrastructure, Implement pipelines Requirements: 5+ years in MLOps/DevOps/Data Engineering; Terraform expert; cloud platforms AWS/Azure/GCP; ML CI/CD; Python; Docker/Kubernetes; Bachelor in CS/Engineering. Category: Data and Analytics Seniority: Senior Level Tools: Terraform, AWS, Azure, GCP, Docker, Kubernetes, CI/CD, Python Commitment: Full Time Workplace: Hybrid Languages: English