{"schemaVersion":"jobsearcher.job.v1","id":"fd7d6a39a9f2d88b3c4d08e2","url":"https://jobsearcher.com/jobs/fd7d6a39a9f2d88b3c4d08e2","canonicalUrl":"https://jobsearcher.com/jobs/fd7d6a39a9f2d88b3c4d08e2","title":"Machine Learning Engineer","description":"Drive AI/ML capabilities that enhance analytic workflows by building and adapting Large Language Models and NLP solutions for intelligence-focused use cases.\r\nResponsibilitiesDevelop and adaptLarge Language Models (LLM)andNatural Language Processing (NLP)methodologies using AI/ML frameworks and programming languages to create new capabilities\r\nImprove analytic workflows and support key intelligence questions through hands‑on model development\r\nUseGPUsfor accelerated computing and performance‑focused execution\r\nTune neural networks (including LLMs) oncustom datasetsand apply models to specific use cases\r\nBuild AI/ML models andensembles , select appropriatePython libraries , prepare data, run analyses, and evaluate model performance\r\nRequirementsBachelor or Master’s Degreein an IT discipline, or the equivalent combination of education, technical certifications or training, or work experience\r\n8+ yearsof experience\r\nProfessional or academic experience with modern deep learning frameworks such asPyTorch ,TensorFlow , orKeras(Key Experience)\r\nHands‑on experience usingGPUsfor accelerated computing (Key Experience)\r\nExperience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases\r\nExperience building AI/ML models and ensembles, including: selecting Python libraries, data preparation, analysis, and model evaluation\r\nProficiency in Python or R\r\nSolid SQLskills, including use of common table expressions, set operations, aggregated functions, and nested subqueries\r\nExperience usingversion control toolssuch asGitHubandJenkins\r\nExperience withHugging Face Transformersand its model hub\r\nExperience withcloud‑based development and architecture\r\nExperience with front‑end or application frameworks such asFlask\r\nAbility to build text‑focused machine learning solutions (classification, topic modeling) usingSciKit‑Learnor deep‑learning approaches\r\nExperience developing applications forsemantic search\r\nProficiency creating dashboards and visualizations inTableau\r\nAbility to communicate modeling decisions, methodologies, and results clearly to technical and non‑technical audiences\r\nExperience building or usingverification and validation test benches\r\nFamiliarity withExplainable AI (XAI)techniques\r\nExperience working withONNX (Open Neural Network Exchange)\r\nU.S. Citizenship Required\r\nLess than 10%travel required\r\nSecurity Clearance Level:TS/SCI with Polygraph(Top Secret SCI + Polygraph)\r\nLocationMcLean, VA(On Customer Site, Onsite Workplace)\r\nCompensationLikely salary range:$168,300 - $227,700per year\r\nBenefits401K with company match\r\nComprehensive health and wellness packages\r\nInternal mobility team dedicated to helping you own your career\r\nProfessional growth opportunities including paid education and certifications\r\nCutting‑edge technology you can learn from\r\nPaid vacation and holidays to rest and recharge\r\nTechnologyKeras, PyTorch, TensorFlow\r\nPython, R\r\nSQL\r\nGitHub, Jenkins\r\nHugging Face Transformers\r\nFlask\r\nSciKit-Learn\r\nTableau\r\nONNX (Open Neural Network Exchange)\r\nGPUs\r\nLarge Language Models (LLM), Natural Language Processing (NLP)\r\nXAI\r\nOther InformationREQ#:RQ229011\r\nRequisition Type: Regular\r\nPublic Trust: None\r\nTravel Required: Less than 10%\r\nYEARS OF EXPERIENCE: 8+ years of related experience\r\nIdentity Verification ProcessOn camera during virtual interviews\r\nWe reserve the right to take your picture to verify your identity and prevent fraud\r\nAuthorize the collection, processing, and use of your biometric data for identity verification and security purposes#J-18808-Ljbffr","company":"Datajobs","rawCompany":"datajobs","city":"McLean","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-10-04T01:52:19.535Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Drive AI/ML capabilities that enhance analytic workflows by building and adapting Large Language Models and NLP solutions for intelligence-focused use cases.\r\nResponsibilitiesDevelop and adaptLarge Language Models (LLM)andNatural Language Processing (NLP)methodologies using AI/ML frameworks and programming languages to create new capabilities\r\nImprove analytic workflows and support key intelligence questions through hands‑on model development\r\nUseGPUsfor accelerated computing and performance‑focused execution\r\nTune neural networks (including LLMs) oncustom datasetsand apply models to specific use cases\r\nBuild AI/ML models andensembles , select appropriatePython libraries , prepare data, run analyses, and evaluate model performance\r\nRequirementsBachelor or Master’s Degreein an IT discipline, or the equivalent combination of education, technical certifications or training, or work experience\r\n8+ yearsof experience\r\nProfessional or academic experience with modern deep learning frameworks such asPyTorch ,TensorFlow , orKeras(Key Experience)\r\nHands‑on experience usingGPUsfor accelerated computing (Key Experience)\r\nExperience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases\r\nExperience building AI/ML models and ensembles, including: selecting Python libraries, data preparation, analysis, and model evaluation\r\nProficiency in Python or R\r\nSolid SQLskills, including use of common table expressions, set operations, aggregated functions, and nested subqueries\r\nExperience usingversion control toolssuch asGitHubandJenkins\r\nExperience withHugging Face Transformersand its model hub\r\nExperience withcloud‑based development and architecture\r\nExperience with front‑end or application frameworks such asFlask\r\nAbility to build text‑focused machine learning solutions (classification, topic modeling) usingSciKit‑Learnor deep‑learning approaches\r\nExperience developing applications forsemantic search\r\nProficiency creating dashboards and visualizations inTableau\r\nAbility to communicate modeling decisions, methodologies, and results clearly to technical and non‑technical audiences\r\nExperience building or usingverification and validation test benches\r\nFamiliarity withExplainable AI (XAI)techniques\r\nExperience working withONNX (Open Neural Network Exchange)\r\nU.S. Citizenship Required\r\nLess than 10%travel required\r\nSecurity Clearance Level:TS/SCI with Polygraph(Top Secret SCI + Polygraph)\r\nLocationMcLean, VA(On Customer Site, Onsite Workplace)\r\nCompensationLikely salary range:$168,300 - $227,700per year\r\nBenefits401K with company match\r\nComprehensive health and wellness packages\r\nInternal mobility team dedicated to helping you own your career\r\nProfessional growth opportunities including paid education and certifications\r\nCutting‑edge technology you can learn from\r\nPaid vacation and holidays to rest and recharge\r\nTechnologyKeras, PyTorch, TensorFlow\r\nPython, R\r\nSQL\r\nGitHub, Jenkins\r\nHugging Face Transformers\r\nFlask\r\nSciKit-Learn\r\nTableau\r\nONNX (Open Neural Network Exchange)\r\nGPUs\r\nLarge Language Models (LLM), Natural Language Processing (NLP)\r\nXAI\r\nOther InformationREQ#:RQ229011\r\nRequisition Type: Regular\r\nPublic Trust: None\r\nTravel Required: Less than 10%\r\nYEARS OF EXPERIENCE: 8+ years of related experience\r\nIdentity Verification ProcessOn camera during virtual interviews\r\nWe reserve the right to take your picture to verify your identity and prevent fraud\r\nAuthorize the collection, processing, and use of your biometric data for identity verification and security purposes#J-18808-Ljbffr","datePosted":"2026-10-04T01:52:19.535Z","dateModified":"2026-10-04T01:52:19.535Z","hiringOrganization":{"@type":"Organization","name":"Datajobs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fd7d6a39a9f2d88b3c4d08e2"},"url":"https://jobsearcher.com/jobs/fd7d6a39a9f2d88b3c4d08e2"}}