Clearance Jobs
AI/ML Expert with Cybersecurity
Clearance Jobs, Washington, District Of Columbia, United States, 20599
Top Secret IT - Security
Washington, DC (Off-Site/Hybrid) Required: Hands-on experience designing, building, and deploying AI/ML models across the full lifecycle, with emphasis on model governance and operationalization. Strong knowledge of AI risk and ethics frameworks including NIST AI RMF, OECD AI Principles, and ISO/IEC 42001; able to assess systems for fairness, bias, and explainability. Familiarity with cybersecurity compliance frameworks (e.g., NIST RMF, FISMA, CMMC) and integration of AI systems into secure, audit-ready environments. Proficient in machine learning techniques (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). Strong in Python (required); experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Working knowledge of cloud-native AI/ML services on AWS, Azure, or Google Cloud (e.g., SageMaker, Azure ML, Vertex AI). Understanding of AI red-teaming, threat detection, and incident response in ML environments. Certifications (Preferred): CISSP, Certified AI Security Specialist (CAISS), Microsoft Azure AI Engineer, or AI certifications
Washington, DC (Off-Site/Hybrid) Required: Hands-on experience designing, building, and deploying AI/ML models across the full lifecycle, with emphasis on model governance and operationalization. Strong knowledge of AI risk and ethics frameworks including NIST AI RMF, OECD AI Principles, and ISO/IEC 42001; able to assess systems for fairness, bias, and explainability. Familiarity with cybersecurity compliance frameworks (e.g., NIST RMF, FISMA, CMMC) and integration of AI systems into secure, audit-ready environments. Proficient in machine learning techniques (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). Strong in Python (required); experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Working knowledge of cloud-native AI/ML services on AWS, Azure, or Google Cloud (e.g., SageMaker, Azure ML, Vertex AI). Understanding of AI red-teaming, threat detection, and incident response in ML environments. Certifications (Preferred): CISSP, Certified AI Security Specialist (CAISS), Microsoft Azure AI Engineer, or AI certifications