{"schemaVersion":"jobsearcher.job.v1","id":"fcc2e894571b8ff7e91aa3d2","url":"https://jobsearcher.com/jobs/fcc2e894571b8ff7e91aa3d2","canonicalUrl":"https://jobsearcher.com/jobs/fcc2e894571b8ff7e91aa3d2","title":"AI/ML Engineer","description":"Responsibilities:\nDesign, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code.\nLead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments.\nBuild and optimize CI/CD pipelines for complex microservices architectures.\nDevelop and maintain full-stack applications while ensuring operational excellence and reliability.\nImplement monitoring, logging, and alerting solutions for production systems.\nDrive security-first infrastructure design and implementation.\nMentor team members on DevOps best practices and cloud-native technologies\nRequirements:\nMust be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed\nBachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)\nExperience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence\n3+ years of machine learning/statistical modeling data analysis tools and techniques\n\nPreferred (but not required):\nMaster's degree or above in Science, Technology, Engineering, or Mathematics (STEM)\nExperience working on multi-team, cross-disciplinary projects\nExperience applying quantitative analysis to solve business problems and making data-driven business decisions\nExperience in defining and creating benchmarks for assessing GenAI model performance\nExperience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions\nExperience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks","company":"Aqua It","rawCompany":"aqua it","city":"Fairfax","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T23:27:09.645Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/ML Engineer","description":"Responsibilities:\nDesign, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code.\nLead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments.\nBuild and optimize CI/CD pipelines for complex microservices architectures.\nDevelop and maintain full-stack applications while ensuring operational excellence and reliability.\nImplement monitoring, logging, and alerting solutions for production systems.\nDrive security-first infrastructure design and implementation.\nMentor team members on DevOps best practices and cloud-native technologies\nRequirements:\nMust be willing to work in SCIF daily or as needed, and participate in on-call rotation for production support as needed\nBachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)\nExperience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence\n3+ years of machine learning/statistical modeling data analysis tools and techniques\n\nPreferred (but not required):\nMaster's degree or above in Science, Technology, Engineering, or Mathematics (STEM)\nExperience working on multi-team, cross-disciplinary projects\nExperience applying quantitative analysis to solve business problems and making data-driven business decisions\nExperience in defining and creating benchmarks for assessing GenAI model performance\nExperience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions\nExperience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks","datePosted":"2026-08-04T23:27:09.645Z","dateModified":"2026-08-04T23:27:09.645Z","hiringOrganization":{"@type":"Organization","name":"Aqua It","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fairfax","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fcc2e894571b8ff7e91aa3d2"},"url":"https://jobsearcher.com/jobs/fcc2e894571b8ff7e91aa3d2"}}