Senior AI Engineer with Security Clearance

Eliassen Group
Provo, MD, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Artificial Neural Networks Microsoft Azure Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Google Cloud Application Specific Integrated Circuits Pytorch Deep Learning
+6 more
Agentic-AI Containerization Kubernetes Information Technology Machine Learning Operations Docker

Job description

Senior AI Engineer Location: Aberdeen Proving Ground, MD Description: On-site in Aberdeen Proving Ground, MD Our client seeks an AI Engineer to support CECOM ASIC in developing and deploying AI/ML models, agentic AI systems, and advanced analytics solutions for defense applications. Responsibilities: * Design, develop, and deploy AI/ML models and agentic AI systems for defense applications

  • Collaborate with cross-functional teams to integrate AI solutions into existing systems
  • Conduct research and experimentation to advance AI capabilities and address emerging challenges
  • Optimize AI models for performance, scalability, and reliability in real-world scenarios
  • Provide technical leadership and mentorship to junior AI engineers

Requirements

  • Stay current with emerging AI technologies and trends to drive innovation Qualifications: * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
  • 5+ years of experience in AI/ML development and deployment
  • Proficiency in Python, TensorFlow, PyTorch, and other AI/ML frameworks
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
  • Strong understanding of deep learning, neural networks, and natural language processing
  • Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
  • Active DoD security clearance required Preferred Qualifications: * Experience with defense applications and requirements
  • Knowledge of ethical AI and responsible AI practices
  • Familiarity with MLOps and AI model deployment pipelines

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