Description

Build and optimize data pipelines for machine learning and synthetic data initiatives.

This role is on-site.

Responsibilities

• Assess, transform, and optimize data for machine learning algorithms.
• Build data pipelines supporting data scientists and engineers.
• Generate representative synthetic datasets for systems development.
• Develop ML training pipelines and inject obfuscations to test model resilience.

Required Skills

• TS/SCI clearance.
• 4+ years designing data models and data warehouses.
• Experience with relational and non-relational distributed storage.
• Proven track record building and maintaining ETL pipelines.
• Experience with Synthetic Aperture Radar (SAR) data.
• Large-scale distributed processing experience.
• Proficiency in Apache Beam.
• Experience building pipelines in ML frameworks.
• Agile environment experience.

Preferred Skills

• Kubeflow experience.

Key Skills

Education

Any graduate