Data Scientist & ML Systems Lead — Cloud + Forensics

DataJobs; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Probity Inc. is seeking a Data Scientist/Manager to support system engineering integration of COTS capabilities and to evaluate AI/ML solutions in a customer environment. The role emphasizes cloud-enabled systems and multimedia forensics for deepfake creation and detection in Chantilly, VA.

Candidates will coordinate introduction of new capabilities, provide data science evaluation, and work with cloud infrastructure, Linux, and collaboration tools such as MS Teams, in an onsite setting.

Qualifications

• Experience providing system engineering support for integration of new capabilities.
• Experience evaluating AI/ML capabilities in customer environments.
• Experience building cloud-based systems and infrastructure.
• Experience performing multimedia forensics (images, videos, audio).
• Experience with deepfake creation and detection methods.

Responsibilities

• Coordinate and document introduction of new COTS capabilities into a customer environment.
• Provide data science support to evaluate AI/ML capabilities within a customer environment.
• Support systems leveraging cloud services and cloud infrastructure.
• Conduct multimedia forensics covering images, videos, and audio.
• Apply current methods for deepfake creation and detection.

Skills

System engineering integration

Data science evaluation

Cloud services

Multimedia forensics

Deepfake methods

Tools

AWS Cloud services

Linux

MS Teams

Job description

Probity Inc. is seeking a Data Scientist/Manager to support system engineering integration of COTS capabilities and to evaluate AI/ML solutions in a customer environment. The role emphasizes cloud-enabled systems and multimedia forensics for deepfake creation and detection in Chantilly, VA.

Candidates will coordinate introduction of new capabilities, provide data science evaluation, and work with cloud infrastructure, Linux, and collaboration tools such as MS Teams, in an onsite setting.