AI/ML Engineer with Security Clearance

Ring0 Technologies (“Ring Zero”) is seeking a talented AI/ML Engineer with experience in Computer Network Operations (CNO) to support a long-term mission within Northern Virginia. The candidate should possess strong, hands-on expertise in advanced AI/ML methodologies and have experience with CNO development. You'll be part of a dynamic team working on next-generation solutions that safeguard national security systems. Responsibilities include but are not limited to: Develop, implement, and optimize AI/ML models to support mission-critical applications.
Apply machine learning techniques to large, complex datasets to enable predictive analytics, anomaly detection, automation, and decision support.
Collaborate with CNO development teams; leverage any prior CNO experience to enhance operational tools, workflows, or mission outcomes.
Work closely with cross-functional engineering, sponsor, and analytic teams in a secure on-site environment.
Document methodologies, model lifecycles, test results, and technical findings.
Support long-term research, prototyping, and mission innovation initiatives. Minimum Qualifications: Active TS//SCI clearance
Demonstrated experience in AI/ML development, including model design, training, evaluation, and deployment.
Strong proficiency in common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience working with large datasets, distributed computing, or GPU-accelerated model training.
Ability to work full-time on-site in Northern Virginia.

Ring0 Technologies (“Ring Zero”) is seeking a talented AI/ML Engineer with experience in Computer Network Operations (CNO) to support a long-term mission within Northern Virginia. The candidate should possess strong, hands-on expertise in advanced AI/ML methodologies and have experience with CNO development. You'll be part of a dynamic team working on next-generation solutions that safeguard national security systems. Responsibilities include but are not limited to: Develop, implement, and optimize AI/ML models to support mission-critical applications.
Apply machine learning techniques to large, complex datasets to enable predictive analytics, anomaly detection, automation, and decision support.
Collaborate with CNO development teams; leverage any prior CNO experience to enhance operational tools, workflows, or mission outcomes.
Work closely with cross-functional engineering, sponsor, and analytic teams in a secure on-site environment.
Document methodologies, model lifecycles, test results, and technical findings.
Support long-term research, prototyping, and mission innovation initiatives. Minimum Qualifications: Active TS//SCI clearance
Demonstrated experience in AI/ML development, including model design, training, evaluation, and deployment.
Strong proficiency in common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Experience working with large datasets, distributed computing, or GPU-accelerated model training.
Ability to work full-time on-site in Northern Virginia.

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