Source description
About the role
Develop automated data pipelines for machine learning technology integration initiatives
Create automation workflows for malware sample collection, detonation, and taxonomy
Implement AI/LLM integrations with Databricks and other cloud services
Implement data integration automation between pilot and production systems
Support Automated Malware Analysis (AMA) platform development and enhancement
Develop scripts and tools to automate repetitive technical tasks
Create data transformation and normalization automation
Support AI/ML data preparation and feature engineering automation
Develop monitoring and alerting automation for integrated systems
Implement API integrations for data sharing and workflow automation
Document automation solutions and maintain code repositories
Support scaling automation from pilot to production environments
Optimize automation performance and efficiency
Collaborate with analysts to identify automation opportunities
Ensure automation solutions maintain data quality and integrity
Support continuous improvement of automated capabilities
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