Opportunity_Mlops Engineer_Resmed.

• 2+ years of total experience in a complex, technical environment. 
• Experience with developing production-grade code in Python, SQL & Pandas.
• Experience with 3 or more of the following AWS tools: Lambda, EC2, EMR, S3, Glue, Athena, RDS, Networking, IAM, Batch processing, Sagemaker, Airflow
• Experience or self-study in Terraform and, generally commonly used DevOps tools and techniques like Kubernetes , Docker, Github, Github Actions, Code pipeline & Jenkins.
• Experience in implementing observability stack like prometheus, loki, grafana/datadog would be good advantage.
• Experience in Kubeflow & MLFlow would be a good advantage.
• Experience in creating and working with CICD pipelines and APIs.
• Experience with relational SQL and NoSQL databases. Snowflake experience is plus.
• Experience working with AI/ML teams and cross-functional teams in a dynamic environment. 

All listed duties, requirements and responsibilities are considered as essential functions to this position; however, business conditions may require reasonable accommodation for added tasks and responsibilities.