AI/ML Media Analysis Lead — Deepfake Detection & Tool Eval

Stech Technology UK Limited; Chantilly (VA); Presencial; USD 120 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

9% retirement contribution

Medical premiums paid

4 weeks PTO

Resumo da oferta

Falls Technology is seeking a lead in Chantilly, VA to evaluate AI/ML models and commercial tools for media analysis on a federal national-security mission. You will guide a technical team from evaluation through deployment and oversee integration into cloud environments.

The role requires Active TS/SCI with Polygraph and on-site work in Chantilly, VA. You will manage evaluation projects, provide results briefs, and apply multimedia forensics and deepfake detection to ensure trusted tool

Qualificações

• Active TS/SCI with Polygraph
• Experience in AI/ML model evaluation
• Systems engineering for COTS tool integration
• Cloud services and infrastructure experience
• Multimedia forensics and deepfake detection experience

Responsabilidades

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

Conhecimentos

Data science for AI/ML model eval

Systems engineering for COTS tool

Cloud services and infrastructure

Multimedia forensics

Synthetic media / deepfake detection

Ferramentas

AWS

Linux

Descrição da oferta de emprego

Falls Technology is seeking a lead in Chantilly, VA to evaluate AI/ML models and commercial tools for media analysis on a federal national-security mission. You will guide a technical team from evaluation through deployment and oversee integration into cloud environments.

The role requires Active TS/SCI with Polygraph and on-site work in Chantilly, VA. You will manage evaluation projects, provide results briefs, and apply multimedia forensics and deepfake detection to ensure trusted tool