AI/ML Engineer (TS/SCI) — Secure Gov Cloud Pipelines

Radiance Technologies; Alexandria (OH); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Radiance Technologies seeks an experienced AI/ML Engineer to design, develop, test, and deliver AI/ML components for NASIC. You will build scalable pipelines from data ingestion to deployment, ensuring compliance with security standards and government frameworks.

Responsibilities include integrating analytic tools, building user-friendly interfaces, and implementing monitoring including drift detection. Collaboration across multidisciplinary teams will be essential to mission success.

Competenze

• Bachelor's degree in Computer Science, Data Science, AI, or related field.
• Active TS/SCI security clearance.
• 3+ years of direct work experience designing, developing, and deploying AI/ML solutions.
• Experience with scalable cloud-native apps and event-driven architecture.
• Proficiency with AI/ML frameworks: TensorFlow, PyTorch, or Scikit-learn.
• Experience with Kubernetes-based platforms and CI/CD pipelines.
• Experience collaborating with multidisciplinary teams and customer-facing engagements.

Mansioni

• Integrate modernized analytic tools into AI/ML capabilities.
• Develop user-friendly interfaces for AI/ML tools.
• Incorporate monitoring services, including model drift detection and model demand tracking.

Conoscenze

AI/ML frameworks knowledge

Cloud-native architectures

Kubernetes-based platforms

CI/CD pipelines

Cross-functional collaboration

Model monitoring and drift detection

Formazione

Bachelor's degree in Computer Science/Data Science/AI or related field

Strumenti

TensorFlow

PyTorch

Scikit-learn

Kubernetes

CI/CD tooling

Descrizione del lavoro

Radiance Technologies seeks an experienced AI/ML Engineer to design, develop, test, and deliver AI/ML components for NASIC. You will build scalable pipelines from data ingestion to deployment, ensuring compliance with security standards and government frameworks.

Responsibilities include integrating analytic tools, building user-friendly interfaces, and implementing monitoring including drift detection. Collaboration across multidisciplinary teams will be essential to mission success.