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: * Bachelorβs or Masterβs 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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