Lead AI/ML Evaluation & Cloud Forensics Engineer

Fallstechnology; Chantilly (VA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

9% retirement contribution

100% of family medical premiums paid

4 weeks PTO

Job summary

Falls Technology seeks a lead to evaluate and integrate AI/ML and commercial tools for media analysis in support of a federal national-security mission. You will assess models, manage cloud deployment, and oversee multimedia forensics including synthetic media and deepfake detection.

This on-site, full-time role is based in Chantilly, VA and requires TS/SCI clearance. You will guide a technical team from evaluation through deployment, briefing results, and coordinating with stakeholders to

Qualifications

• Active TS/SCI with Polygraph.
• Experience in data science for AI/ML model evaluation.
• Systems engineering experience for COTS tool integration.
• Knowledge of cloud services and infrastructure.
• Background in multimedia forensics.
• Experience with synthetic media / deepfake generation and detection.

Responsibilities

• Evaluate AI/ML models and commercial (COTS) tools for media analysis.
• Lead systems engineering efforts to integrate selected tools into cloud environments.
• Apply multimedia forensics, including synthetic media and deepfake generation and detection.
• Plan and manage evaluation projects, including briefing results.
• Guide a technical team from evaluation through deployment.

Skills

Data science for AI/ML model eval

Cloud services and infrastructure

Multimedia forensics

Synthetic media / deepfake generation&

Tools

AWS

Linux

Job description

Falls Technology seeks a lead to evaluate and integrate AI/ML and commercial tools for media analysis in support of a federal national-security mission. You will assess models, manage cloud deployment, and oversee multimedia forensics including synthetic media and deepfake detection.

This on-site, full-time role is based in Chantilly, VA and requires TS/SCI clearance. You will guide a technical team from evaluation through deployment, briefing results, and coordinating with stakeholders to