Peraton is currently seeking skilled and qualified candidates for our AWS AI/ML Engineer position on our DHS program. This person will have a strong focus on AWS AI/ML containerization technologies for development, modernization, and migration in support of a government multi-cloud environment with 30+ customer tenants and growing. 

This person must have must have extensive cloud knowledge and experience with integration, system analysis or programming experience, including developing cloud systems requirements and design specification. 

Day to Day Work Responsibilities:

• Develop and deploy AI/ML models using AWS AI/ML services (e.g., SageMaker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions.
• Install, configure, and maintain Linux servers while ensuring system performance, security, and stability.
• Design, implement, and manage containerized applications using AWS Cloud Containerization services (e.g., ECS, EKS) and Docker, developing CI/CD pipelines for automated deployment and scaling.
• Work closely with cross-functional teams to understand project requirements and deliver robust solutions, documenting system configurations, procedures, and best practices.
• Provide technical guidance and mentorship to junior team members.

Basic Qualifications:

• Bachelor's degree with 8+ years direct relevant experience, master's degree with 6+ years direct relevant experience or high school diploma/GED with 12+ years direct relevant experience.
• 5+ years of experience as an AWS Engineer operating within a Linux environment managing and optimizing Linux systems for AWS
• Expertise implementing AWS AI/ML solutions and utilizing containerization platforms such as AWS Cloud Containerization services, Docker, and others.
• Expertise in AWS AI services and machine learning model deployment.
• Strong proficiency in containerization technologies, including AWS Cloud Containerization services and Docker.
• Experience with CI/CD tools and practices.
• Solid understanding of networking, security, and system architecture.

Preferred Skills:

• AWS Certified Solutions Architect or AWS Certified Machine Learning.
• Familiarity with Kubernetes and other container orchestration platforms.
• Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
• Knowledge of scripting languages (e.g., Python, Bash).