Applied AI/ML Engineer

Develop and deploy AI/ML solutions for geospatial intelligence missions, working across data acquisition, model development, evaluation, prototyping and hardware implementation. Apply machine learning to diverse and multi-INT data, including RF and remote-sensing imagery, and advise government and internal teams on technical approaches and delivery.

Responsibilities

• Architect, develop and integrate data science and AI/ML solutions, including spatio-temporal ML, data fusion and semantic enrichment.
• Design, implement and evaluate machine learning solutions using multi-INT data, with emphasis on RF.
• Engineer and transform diverse data modalities throughout the AI/ML workflow.
• Design and assess geospatial AI/ML solutions across hardware and software stacks.
• Apply emerging AI/ML advancements to government mission challenges.
• Advise government and internal teams, mentor colleagues, and communicate progress, results, risks and challenges.

Required Skills

• AI/ML model design and deployment
• Python
• Py
• Torch
• Tensor
• Flow
• Num
• Py
• Pandasscikit-learn
• Geospatial data processing
• Time-series analysis
• Remote sensing and EO/SAR imagery