{"schemaVersion":"jobsearcher.job.v1","id":"ef7438ab96da9aa1f2c1aed3","url":"https://jobsearcher.com/jobs/ef7438ab96da9aa1f2c1aed3","canonicalUrl":"https://jobsearcher.com/jobs/ef7438ab96da9aa1f2c1aed3","title":"AI/ML Engineer","description":"Job Number: R0243597\r\nAI/ML Engineer\r\nThe Opportunity\r\nAs an machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML)-enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.\r\nOn our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas such as software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.\r\nReady to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization?\r\nJoin us. The world can't wait.\r\nYou Have\r\n3+ years of experience as a ML engineer and building production-grade ML solutions\r\n3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data\r\nExperience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, or vLLM\r\nExperience with project work in deep learning, computer vision, neural networks, NLP, or signal processing\r\nSecret clearance\r\nBachelor's degree\r\nNice If You Have\r\n3+ years of experience working in cloud environments, including AWS and Azure\r\n2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes\r\nExperience with client engagements, client-facing project work, and business development\r\nExperience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services\r\nAbility to adapt in a rapidly changing environment\r\nPossession of excellent verbal and written communication skills\r\nPossession of excellent interpersonal, analytical, problem-solving, and organizational skills\r\nTop Secret clearance\r\nMaster's degree\r\nClearance\r\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance required.\r\nCompensation\r\nAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.\r\nSalary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.\r\nCommitment to Non-Discrimination\r\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.\r\nJ-18808-Ljbffr","company":"Phase2 Technology","rawCompany":"phase2 technology","city":"Melbourne","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:41:56.653Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/ML Engineer","description":"Job Number: R0243597\r\nAI/ML Engineer\r\nThe Opportunity\r\nAs an machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML)-enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors.\r\nOn our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas such as software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments.\r\nReady to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization?\r\nJoin us. The world can't wait.\r\nYou Have\r\n3+ years of experience as a ML engineer and building production-grade ML solutions\r\n3+ years of experience working within data science or data research in a professional or academic environment, and training or deploying models across multiple modalities of data\r\nExperience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, or vLLM\r\nExperience with project work in deep learning, computer vision, neural networks, NLP, or signal processing\r\nSecret clearance\r\nBachelor's degree\r\nNice If You Have\r\n3+ years of experience working in cloud environments, including AWS and Azure\r\n2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes\r\nExperience with client engagements, client-facing project work, and business development\r\nExperience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services\r\nAbility to adapt in a rapidly changing environment\r\nPossession of excellent verbal and written communication skills\r\nPossession of excellent interpersonal, analytical, problem-solving, and organizational skills\r\nTop Secret clearance\r\nMaster's degree\r\nClearance\r\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance required.\r\nCompensation\r\nAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.\r\nSalary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.\r\nCommitment to Non-Discrimination\r\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:41:56.653Z","dateModified":"2026-07-16T01:41:56.653Z","hiringOrganization":{"@type":"Organization","name":"Phase2 Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Melbourne","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ef7438ab96da9aa1f2c1aed3"},"url":"https://jobsearcher.com/jobs/ef7438ab96da9aa1f2c1aed3"}}