Why This Role Stands Out
Advance your career in AI/ML by developing cutting-edge solutions for critical national security programs, with a highly competitive salary range and hybrid flexibility. If you possess a strong background in AI/ML, a U.S. Secret or Top Secret clearance, and a passion for impactful innovation, this opportunity at AFORGE LLC is an excellent fit for your growth.
Quick Overview
Job Description
Location: National Capital Area, Bedford MA, Various CONUS Locations
Employment Type: Full-Time W2 or 1099
Salary Range: $110,000–$220,000 annually, depending on seniority, experience, technical expertise, education, and qualifications.
Security Clearance: An active U.S. Secret or Top Secret security clearance is required. Some positions may require eligibility for SCI access or the ability to obtain additional customer-specific clearances.
Work Authorization: Applicants must be U.S. citizens and able to meet all customer security requirements. We are seeking AI, Machine Learning, and Data Science professionals to support mission-critical programs across the Intelligence Community and Department of Defense. These positions involve developing advanced analytics, machine learning models, autonomous capabilities, and data-driven solutions that enhance decision-making and national security operations.
Typical Responsibilities: Design and develop AI/ML algorithms and predictive analytics solutions.
Build data pipelines and process structured and unstructured datasets.
Develop statistical models and machine learning frameworks.
Support AI integration into enterprise and operational environments.
Perform data visualization and communicate analytical findings.
Collaborate with software engineers, cyber professionals, and mission stakeholders.
Support research, prototyping, testing, and deployment of emerging AI technologies.
Desired Qualifications: Bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering, or related field.
Experience with Python, R, TensorFlow, PyTorch, Scikit-learn, or similar technologies.
Experience with cloud environments is preferred.
Strong analytical and problem-solving skills.
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