AI/ML Engineer

AFORGE LLC
McLean, VA, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$110,000.0 - $220,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Application Integration Architecture Cyber Security Data Visualization R (Programming Language) Python (Programming Language) Machine Learning Tensorflow Unstructured Data Cloud Platform System Pytorch Scikit Learn
+2 more
Information Technology Data Pipelines

Job description

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.

Requirements

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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