Barbaricum
Barbaricum is a company that prides itself on challenging norms and achieving ambitious successes. By providing flexible, innovative, and pragmatic solutions, Barbaricum delivers scalable success for its customers through strategic positioning across prominent contract vehicles. The company focuses on human-led solutions to meet national security challenges and emphasizes a culture of innovation, duty, empowerment, and balance in its operations.
Technology-Enabled Services • Strategic Communications • Research and Analysis • IT • Mission Support
Artificial Intelligence - Machine Learning Cloud Engineer
March 29
Barbaricum
Barbaricum is a company that prides itself on challenging norms and achieving ambitious successes. By providing flexible, innovative, and pragmatic solutions, Barbaricum delivers scalable success for its customers through strategic positioning across prominent contract vehicles. The company focuses on human-led solutions to meet national security challenges and emphasizes a culture of innovation, duty, empowerment, and balance in its operations.
Technology-Enabled Services • Strategic Communications • Research and Analysis • IT • Mission Support
📋 Description
• Barbaricum is seeking an Artificial Intelligence Machine Learning (AI/ML) Cloud Engineer to support cloud infrastructure, deployment, and security for DoD AI/ML solutions. • This role focuses on configuring AI infrastructure, optimizing model performance, and implementing cybersecurity best practices. • The AI/ML Cloud Engineer will assess AWS Bedrock, AWS SageMaker and other cloud AI solutions, ensuring secure, scalable, and optimized AI operations. • Responsibilities include deploying and maintaining AIML cloud infrastructure (AWS, and potentially Azure, MilCloud 2.0), configuring AI model training, identifying and remediating cybersecurity risks, automating cloud deployment, and ensuring high availability for AI/ML workloads.
🎯 Requirements
• Must be a U.S. Citizen and reside within the United States. • AWS certifications highly preferred; AI/ML and SEC experience is a plus. • Bachelor’s degree plus 5+ years of experience, or Master’s degree plus 3+ years of experience in Cloud Engineering, AI/ML, or Data Engineering. • Experience with AWS Bedrock, AWS SageMaker, Apache Spark, Databricks, and cloud-native AIML tools. • Strong understanding of cloud security, risk remediation, and AI workload optimization. • Proficiency in Python, Terraform, Kubernetes, and CI/CD automation.
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