AI/ML Engineer

Company: the-swift-group
Location: McLean, USA
Type:
Posted: Sep 24, 2026
Views: 1

✨ AI Summary

Swift, a services and solutions company supporting Civilian, Defense, and Intelligence customers, is hiring an AI/ML Engineer in McLean, VA. The role focuses on designing and deploying AI/ML models across domains like generative AI, NLP, and computer vision using Python, R, and cloud computing services. Candidates require a bachelor's degree, 5 years of experience in AI/ML development and cloud deployment, and an active Top Secret/SCI security clearance.

Swift is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe.

We are looking for a AI/ML Engineer in McLean, VA.

Job Description:
  • Design, develop, test, evaluate, and deploy AI/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning
  • Provide AI/ML engineering services to support customer's initiatives, leveraging expertise in AI/ML algorithms, software development, and cloud computing

Requirements:
  • Bachelor's degree in Computer Science,Data Science, Applied Mathematics, Engineering, or a related technical discipline (or equivalent experience)
  • 5 years of experience with Python or R programming languages for AI/ML development
  • 5 years of experience with Cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment
  • 5 years of experience with AI/ML model development and deployment, including model tuning, experimentation, validation, and benchmarking
  • US citizenship and an active Top Secret/SCI with Polygraph security clearance required

Desired Experience:
  • Experience with AI/ML model explainability and interpretability techniques
  • Familiarity with Sponsor's enterprise services, security controls, and data management practices
  • Experience with front-end web development frameworks, such as Flask
  • Experience with Tableau to produce visualizations and dashboards
  • Experience with verification and validation test benches
  • Deep learning frameworks, such as PyTorch, TensorFlow, or Keras
  • Version control systems, such as GitHub

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