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AI​/ML Engineer Security Clearance

Job in Bedford, Middlesex County, Massachusetts, 01730, USA
Listing for: AFORGE LLC
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 220000 USD Yearly USD 110000.00 220000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Engineer with Security Clearance

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, Tensor Flow, PyTorch, Scikit-learn, or similar technologies.
  • Experience With Cloud Environments Is Preferred.
  • Strong analytical and problem-solving skills.
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