Data Scientist / ML Engineer (GEOINT / Computer Vision) VAWFH 1646

Global InfoTek, Inc. is an established company specializing in advanced technology solutions. They are seeking a Machine Learning Engineer responsible for developing and integrating ML models and algorithms, particularly in the domains of computer vision and geospatial intelligence.

Responsibilities:

• Integrate and operationalize machine learning and computer vision models developed by research partners
• Apply delivered algorithms to NGA-provided datasets and generate results aligned with program requirements
• Evaluate model performance using metrics such as accuracy, precision, recall, ROC/AUC, and localization quality
• Adapt and optimize models for real-world conditions (compression, noise, format variability)
• Work with containerized solutions (Docker or similar) to support deployment and reproducibility
• Translate research concepts, theory, and technical reports into practical implementations and workflows
• Generate technical reports, visualizations, and summaries suitable for NGA stakeholders
• Collaborate with internal teams and external partners to support integration and testing
• Participate in technical meetings and reviews within secure environments (SCIF)

Requirements:

• Clearance Level: TS/SCI
• US Citizenship: Required
• Years of Experience: 5-7 Years
• Education Level: Bachelor degree or Master's degree is required in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields
• 3+ years of experience in machine learning / computer vision / data science
• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
• Experience working 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)
• Experience with image forensics, deepfake detection, or GEOINT-related analytics
• Experience working with DoD / IC programs or classified environments
• Familiarity with containerization (Docker) and deployment pipelines
• Experience handling large-scale or multi-format datasets (JPG, WEBP, MP4, AVI)
• Knowledge of adversarial robustness, 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