{"schemaVersion":"jobsearcher.job.v1","id":"2c9ec02237ff5d91e0cc7360","url":"https://jobsearcher.com/jobs/2c9ec02237ff5d91e0cc7360","canonicalUrl":"https://jobsearcher.com/jobs/2c9ec02237ff5d91e0cc7360","title":"Artificial Intelligence/Machine Learning (AI/ML) Engineer","description":"Overview\nIn this role you will provide technical leadership and hands-on AI/ML engineering to optimize, secure, and scale enterprise AI capabilities for federal missions. You will work with cross-functional partners to operationalize AI solutions while maintaining governance and security in enterprise environments. You’ll develop and monitor ML models, build MLOps pipelines, and advance NLP/LLM-driven initiatives that impact mission-critical use cases. This is an opportunity to shape AI at scale within a mission-driven team.\n\nCompensation / Benefitscompetitive compensation with bonusesemployer paid health caretraining and development funds401k match\nResponsibilitiesDevelop, train, evaluate, deploy, and monitor ML/AI models for mission and business use casesBuild and support MLOps pipelines for model versioning, deployment, monitoring, and governanceCollaborate with data engineers, developers, analysts, and domain SMEs to operationalize AI capabilitiesImplement NLP, LLM, RAG, generative AI, predictive analytics, and automation solutions where appropriateOptimize model performance, scalability, explainability, security, and reliabilitySupport AI solution integration into APIs, applications, reporting platforms, and operational workflowsDocument model development, testing, deployment, monitoring, and responsible AI considerations\nKey requirements3+ years of AI/ML engineering, data science, or applied machine learning experienceExperience with Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learnExperience with MLOps tools, cloud AI services, model deployment, and production monitoringKnowledge of NLP, LLMs, RAG, generative AI, predictive modeling, and model evaluation methodsExperience deploying AI/ML capabilities within secure cloud or enterprise environmentsStrong analytical, documentation, communication, and collaboration skillsIRS, Treasury, fraud analytics, tax administration, or federal AI/ML experience preferredMust have active or ability to obtain IRS MBI clearancestrong collaborationclear communicationdocumentationPythonPyTorchTensorFlow","company":"Analytica","rawCompany":"analytica","city":"Silver Spring","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:05:18.834Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence/Machine Learning (AI/ML) Engineer","description":"Overview\nIn this role you will provide technical leadership and hands-on AI/ML engineering to optimize, secure, and scale enterprise AI capabilities for federal missions. You will work with cross-functional partners to operationalize AI solutions while maintaining governance and security in enterprise environments. You’ll develop and monitor ML models, build MLOps pipelines, and advance NLP/LLM-driven initiatives that impact mission-critical use cases. This is an opportunity to shape AI at scale within a mission-driven team.\n\nCompensation / Benefitscompetitive compensation with bonusesemployer paid health caretraining and development funds401k match\nResponsibilitiesDevelop, train, evaluate, deploy, and monitor ML/AI models for mission and business use casesBuild and support MLOps pipelines for model versioning, deployment, monitoring, and governanceCollaborate with data engineers, developers, analysts, and domain SMEs to operationalize AI capabilitiesImplement NLP, LLM, RAG, generative AI, predictive analytics, and automation solutions where appropriateOptimize model performance, scalability, explainability, security, and reliabilitySupport AI solution integration into APIs, applications, reporting platforms, and operational workflowsDocument model development, testing, deployment, monitoring, and responsible AI considerations\nKey requirements3+ years of AI/ML engineering, data science, or applied machine learning experienceExperience with Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learnExperience with MLOps tools, cloud AI services, model deployment, and production monitoringKnowledge of NLP, LLMs, RAG, generative AI, predictive modeling, and model evaluation methodsExperience deploying AI/ML capabilities within secure cloud or enterprise environmentsStrong analytical, documentation, communication, and collaboration skillsIRS, Treasury, fraud analytics, tax administration, or federal AI/ML experience preferredMust have active or ability to obtain IRS MBI clearancestrong collaborationclear communicationdocumentationPythonPyTorchTensorFlow","datePosted":"2026-09-15T04:05:18.834Z","dateModified":"2026-09-15T04:05:18.834Z","hiringOrganization":{"@type":"Organization","name":"Analytica","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Silver Spring","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2c9ec02237ff5d91e0cc7360"},"url":"https://jobsearcher.com/jobs/2c9ec02237ff5d91e0cc7360"}}