Role: MLOps EngineerLocation: Sydney, New South Wales ,AustraliaJob Type: Permanent Job Description Mandatory Skill: Enterprise-level ML experience on AWSTech Skills:AWS Services: In depth knowledge of AWS services such as EC2, ECS, S3, Lambda, Step function, RDS, DynamoDB, IAM, Encryption, VPC, Route 53, Cloudwatch,AWS ML Services: Expertise in AWS ML services like SageMaker , AWS Glue, Amazon EMR, AirflowModel Lifecycle: Experience with the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deploymentScripting: Proficient in automation and Scripting ( Bash , Python ).IaC Tools: Hands-on experience with infrastructure as code tools like AWS CloudFormation,Version Control: Proficiency with version control systems like Github, Github ActionsMonitoring & Observability: Expertise in tools like Grafana, PrometheusEngineering Tooling: Artifactory, Synk, Docker
