What You Will Do: Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers. Develop predictive models for drift detection cost anomaly detection and forecasting of public cloud resources and spend. Automate operational workflows using machine learning and intelligent scripting. Integrate AI-driven insights with Cloud Service Providers like AWS GCP Azure and existing data and tools. Conduct anomaly detection for security cost optimization and performance analytics. Design build and maintain scalable ETL pipelines using AWS Glue and other cloud-native services. Utilize AWS Athena for interactive querying of data stored in data lakes. Manage and optimize data storage and processing using Snowflake cloud data platform. Orchestrate complex workflows and data pipelines using Apache Airflow DAGs. Continuously evaluate emerging AI technologies and tools for operational improvements. Maintain documentation and best practices for AI/ML integration in cloud systems. |
Required Skills :
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
What You Will Do: Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers. Develop predictive models for drift detection cost anomaly detection and forecasting of public cloud resources and spend. Automate ope...
What You Will Do: Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers. Develop predictive models for drift detection cost anomaly detection and forecasting of public cloud resources and spend. Automate operational workflows using machine learning and intelligent scripting. Integrate AI-driven insights with Cloud Service Providers like AWS GCP Azure and existing data and tools. Conduct anomaly detection for security cost optimization and performance analytics. Design build and maintain scalable ETL pipelines using AWS Glue and other cloud-native services. Utilize AWS Athena for interactive querying of data stored in data lakes. Manage and optimize data storage and processing using Snowflake cloud data platform. Orchestrate complex workflows and data pipelines using Apache Airflow DAGs. Continuously evaluate emerging AI technologies and tools for operational improvements. Maintain documentation and best practices for AI/ML integration in cloud systems. |
Required Skills :
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
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