Tech Stack

Description

You will work with AI team members to operationalize data pipelines and ML tasks, deploying Python-native ML pipelines and performing data engineering to enable AI/ML capabilities. You'll present results to diverse audiences and support architectural leadership for identity management systems.

Requirements

• Active Secret Clearance
• Bachelor's degree in Computer Science, IT, Engineering or equivalent
• 5+ years on-the-job experience in Data/ML engineering
• Experience with ETL, Data Labeling, and Data Prep
• Experience with DataBricks, Python, and SQL

Responsibilities

• Operationalize data pipelines and ML tasks
• Deploy Python-native ML pipelines
• Perform data engineering tasks to enable AI/ML capabilities
• Present results to diverse audiences in presentation or report form
• Support architectural leadership and technical advisement for identity management systems