AI Full Stack with Security Clearance

MinimumBachelor’s degree in computer science, Software Engineering, or related field or at least 10 years of relevant professional work experience in engineeringMinimum of five (5) years of professional experience in platform engineering, with at least three (3) years focusing on AI/ML platformsExpert knowledge and experience in Kubernetes administration and management (Elastic Kubernetes Service preferred)Proficiency in Infrastructure as Code (IaC) development, with tools such as Terraform and HelmMinimum of three (3) years recent professional experience with cloud services, particularly Amazon Web Services (AWS) and the AWS AI/ML offeringsAt least one (1) AWS certificationThorough understanding of DevSecOps best practices, with demonstrated experience with DevOps