{"schemaVersion":"jobsearcher.job.v1","id":"4469730d2fbe76889cfa6713","url":"https://jobsearcher.com/jobs/4469730d2fbe76889cfa6713","canonicalUrl":"https://jobsearcher.com/jobs/4469730d2fbe76889cfa6713","title":"AI Machine Learning Skill","description":"Required:\r\nTO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)\r\nThe Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving, and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.\r\nRequired Skills\r\nFive years of applied machine learning experience in programs and contracts of similar scope, type, and complexity, and a Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited institution. Five additional years of machine learning experience with a relevant Bachelor's degree may substitute for a Master's degree.\r\nExperience with standard machine learning frameworks, e.g. PyTorch, TensorFlow, including:\r\nSelect appropriate data sets\r\nPerform statistical analysis\r\nRun machine learning algorithms\r\nUse results to improve models\r\nTrain and retrain systems when needed\r\nExperience in working with various ML libraries and packages\r\nRun standard test and evaluation protocols\r\nProvide system integration oversight\r\nOversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements\r\nResearch and implement a broad range of AI and ML algorithms and tools\r\nDesign or select appropriate data and knowledge representation methods\r\nRecognize software architecture, data modeling, and data structures\r\nTransform and convert data science prototypes into scalable solutions\r\nVerify data and model output quality\r\nIdentify differences in data distribution that affect model performance\r\nCompensation\r\nWe are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.\r\nBenefits\r\nHealth Coverage: Medical, dental, and vision insurance\r\nAdditional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance\r\nRetirement Plan: 401(k) plan with company match\r\nPaid Time Off: Generous PTO, paid holidays, parental leave, and more\r\nWellness: Access to wellness programs and mental health support\r\nProfessional Development: Opportunities for growth, including tuition reimbursement\r\nAdditional Perks\r\nFlexible work arrangements, including remote work options\r\nFlexible Spending Accounts (FSAs)\r\nEmployee referral programs\r\nBonus opportunities\r\nTechnology allowance\r\nA diverse, inclusive, and supportive workplace culture\r\nJ-18808-Ljbffr","company":"Onyx Point","rawCompany":"onyx point","city":"Hanover","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:16:28.239Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Machine Learning Skill","description":"Required:\r\nTO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)\r\nThe Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving, and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.\r\nRequired Skills\r\nFive years of applied machine learning experience in programs and contracts of similar scope, type, and complexity, and a Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited institution. Five additional years of machine learning experience with a relevant Bachelor's degree may substitute for a Master's degree.\r\nExperience with standard machine learning frameworks, e.g. PyTorch, TensorFlow, including:\r\nSelect appropriate data sets\r\nPerform statistical analysis\r\nRun machine learning algorithms\r\nUse results to improve models\r\nTrain and retrain systems when needed\r\nExperience in working with various ML libraries and packages\r\nRun standard test and evaluation protocols\r\nProvide system integration oversight\r\nOversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements\r\nResearch and implement a broad range of AI and ML algorithms and tools\r\nDesign or select appropriate data and knowledge representation methods\r\nRecognize software architecture, data modeling, and data structures\r\nTransform and convert data science prototypes into scalable solutions\r\nVerify data and model output quality\r\nIdentify differences in data distribution that affect model performance\r\nCompensation\r\nWe are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.\r\nBenefits\r\nHealth Coverage: Medical, dental, and vision insurance\r\nAdditional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance\r\nRetirement Plan: 401(k) plan with company match\r\nPaid Time Off: Generous PTO, paid holidays, parental leave, and more\r\nWellness: Access to wellness programs and mental health support\r\nProfessional Development: Opportunities for growth, including tuition reimbursement\r\nAdditional Perks\r\nFlexible work arrangements, including remote work options\r\nFlexible Spending Accounts (FSAs)\r\nEmployee referral programs\r\nBonus opportunities\r\nTechnology allowance\r\nA diverse, inclusive, and supportive workplace culture\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:16:28.239Z","dateModified":"2026-07-04T02:16:28.239Z","hiringOrganization":{"@type":"Organization","name":"Onyx Point","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hanover","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4469730d2fbe76889cfa6713"},"url":"https://jobsearcher.com/jobs/4469730d2fbe76889cfa6713"}}