Description

Curate and organize data to advance modeling and prediction capabilities through synthetic data development and ML pipeline construction.

Responsibilities

• Assess, transform, and optimize data for machine learning algorithms.
• Generate representative datasets for systems development and data science initiatives.
• Build data pipelines that support data scientists, engineers, and other stakeholders.
• Develop ML models and training pipelines to detect features in scenes.
• Inject obfuscations into data to test model resilience.

Required Skills

• TS/SCI clearance.
• 4+ years of experience designing data models and data warehouses for analytics.
• Experience with both relational and non-relational distributed data storage systems.
• Demonstrated experience building and maintaining ETL pipelines.
• Experience working with Synthetic Aperture Radar (SAR) data.
• Experience with large-scale distributed processing.
• Experience building data pipelines in ML frameworks.
• Experience with Apache Beam.
• Experience working in an agile environment.

Preferred Skills

• Kubeflow experience.

Key Skills

Education

Any graduate