Data Scientist / AI/ML Engineer (Imagery) VAWFH 1652

Briefly Describe the Work

GITI is seeking a Machine Learning (ML) Engineer with proven expertise to research, develop, architect, and integrate ML models, algorithms, tools, and techniques into existing or new environments. The ideal candidate should have experience analyzing large datasets, preprocessing data, and conducting data integrity and validation actions. They will also design, develop, and integrate ML models and algorithms to address specific problems, such as detecting AI-generated and manipulated imagery or introducing pattern recognition for imagery.

Requirements

• Clearance Level: TS/SCI
• US Citizenship: Required
• Job Classification: Regular, Full-Time
• Location: Reston, VA
• Years of Experience: 5-7 Years
• Education Level: Bachelor degree or Master’s degree in relevant fields

Skills

• Experience in machine learning / computer vision / data science
• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
• Experience with image and/or video data
• Ability to understand and implement research-level algorithms from technical papers and reports
• Experience with model evaluation, validation, and performance analysis
• Familiarity with Linux-based environments and version control systems (e.g., Git)

Desired Skills

• Experience with image forensics, alteration detection, or related analytics
• Experience working in classified environments
• Familiarity with containerization (Docker) and deployment pipelines
• Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI)
• Knowledge of synthetic data generation or explainable AI
• Ability to bridge theory and implementation
• Strong problem-solving and analytical skills
• Effective communication with both technical and non-technical stakeholders
• Comfortable working in structured, mission-driven environments

Relevant Certifications

• Certifications in machine learning, data science, or related fields

About Global InfoTek, Inc.

Global InfoTek Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or based on disability.