{"schemaVersion":"jobsearcher.job.v1","id":"690e77d7f046846fb2377b4f","url":"https://jobsearcher.com/jobs/690e77d7f046846fb2377b4f","canonicalUrl":"https://jobsearcher.com/jobs/690e77d7f046846fb2377b4f","title":"Machine Learning Engineer - Remote","description":"About The CompanyHalvik Corp is a leading provider of comprehensive digital services dedicated to supporting federal agencies across the United States. Serving 13 executive agencies and 15 independent agencies, Halvik has established itself as a highly successful WOB (Women-Owned Business) enterprise with a robust portfolio of more than 50 prime contracts. Our team of over 500 professionals specializes in delivering innovative solutions in Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security, and Cutting-Edge Technology. Our mission is to empower government agencies with transformative technology solutions that enhance operational efficiency, security, and service delivery. At Halvik, we foster a culture of innovation, collaboration, and excellence, making us a trusted partner in advancing national interests. Join us to be part of a dynamic organization committed to making a meaningful impact through technology.About The RoleWe are seeking an experienced Machine Learning Engineer to join our team and contribute to the development, deployment, and maintenance of advanced AI and ML solutions for federal government clients. In this role, you will collaborate with data scientists, data engineers, and stakeholders to design and implement scalable machine learning models and AI systems. Your responsibilities will include developing and optimizing models, integrating them into production environments, and ensuring their performance aligns with operational requirements. You will leverage cloud platforms such as AWS and data engineering tools like Databricks to build robust ML pipelines and architectures. The ideal candidate will have a strong background in applied machine learning, MLOps practices, and cloud infrastructure, with a passion for innovation and continuous improvement. This position offers an exciting opportunity to work on cutting-edge AI projects that have a real-world impact on government operations and national security.Qualifications5+ years of experience in Machine Learning Engineering or Applied Machine LearningProficiency in Python programming and experience with ML libraries such as scikit-learn, XGBoost, PyTorch, and TensorFlowHands-on experience with Databricks, MLflow, and PySparkStrong understanding of the ML model lifecycle and MLOps practicesExperience with AWS services including S3, EC2, Lambda, SageMaker, and Step FunctionsDemonstrated ability to productionize models and integrate them into business systemsSolid knowledge of mathematics and statistics relevant to machine learning and AIExperience with various machine learning algorithms (supervised, unsupervised, deep learning)Background in software engineering principles and best practicesPractical experience with model training frameworks such as TensorFlow, PyTorch, and Hugging FaceHands-on experience with LLMs, RAGs, and AI agent architecturesExcellent communication and teamwork skillsResponsibilitiesCollaborate with data scientists and subject matter experts to develop machine learning models using curated datasetsConduct experiments, prototypes, and proof-of-concepts to validate model performanceCreate scalable and reusable training pipelines utilizing Databricks notebooks and MLflowImplement and optimize models including LLMs, RAGs, and AI agent systems for various business applicationsOperationalize models with robust CI/CD workflows, deploying via MLflow, SageMaker, or custom APIsMonitor production models for accuracy, drift, and latency; manage retraining schedules accordinglyWork closely with Data Engineering teams to align ML pipelines with Medallion Architecture layers (Bronze, Silver, Gold)Engineer high-quality features and maintain training/inference pipelines for efficiency and reliabilityLeverage AWS cloud services such as S3, EC2, Lambda, and Step Functions for platform engineeringDocument ML artifacts, processes, and performance outcomes to ensure transparency and reproducibilityParticipate in agile project ceremonies and maintain ongoing communication with stakeholdersMentor junior team members and share knowledge to foster team growth and expertiseBenefitsCompetitive salary commensurate with experience and skillsComprehensive health, dental, and vision insurance plansRetirement savings plans with company matchingOpportunities for professional development and continuous learningWork on innovative projects with cutting-edge technologiesFlexible work arrangements and supportive work environmentPaid time off and holidaysEqual OpportunityHalvik Corp is an equal opportunity employer. We are committed to fostering an inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We believe diversity enriches our team and drives innovation, and we welcome applicants from all backgrounds to join our organization.","company":"Sundayy","rawCompany":"sundayy","isRemote":true,"isActive":false,"createdAt":"2026-06-02T00:11:59.928Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541810","title":"Advertising Agencies","slug":"advertising-agencies"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Remote","description":"About The CompanyHalvik Corp is a leading provider of comprehensive digital services dedicated to supporting federal agencies across the United States. Serving 13 executive agencies and 15 independent agencies, Halvik has established itself as a highly successful WOB (Women-Owned Business) enterprise with a robust portfolio of more than 50 prime contracts. Our team of over 500 professionals specializes in delivering innovative solutions in Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security, and Cutting-Edge Technology. Our mission is to empower government agencies with transformative technology solutions that enhance operational efficiency, security, and service delivery. At Halvik, we foster a culture of innovation, collaboration, and excellence, making us a trusted partner in advancing national interests. Join us to be part of a dynamic organization committed to making a meaningful impact through technology.About The RoleWe are seeking an experienced Machine Learning Engineer to join our team and contribute to the development, deployment, and maintenance of advanced AI and ML solutions for federal government clients. In this role, you will collaborate with data scientists, data engineers, and stakeholders to design and implement scalable machine learning models and AI systems. Your responsibilities will include developing and optimizing models, integrating them into production environments, and ensuring their performance aligns with operational requirements. You will leverage cloud platforms such as AWS and data engineering tools like Databricks to build robust ML pipelines and architectures. The ideal candidate will have a strong background in applied machine learning, MLOps practices, and cloud infrastructure, with a passion for innovation and continuous improvement. This position offers an exciting opportunity to work on cutting-edge AI projects that have a real-world impact on government operations and national security.Qualifications5+ years of experience in Machine Learning Engineering or Applied Machine LearningProficiency in Python programming and experience with ML libraries such as scikit-learn, XGBoost, PyTorch, and TensorFlowHands-on experience with Databricks, MLflow, and PySparkStrong understanding of the ML model lifecycle and MLOps practicesExperience with AWS services including S3, EC2, Lambda, SageMaker, and Step FunctionsDemonstrated ability to productionize models and integrate them into business systemsSolid knowledge of mathematics and statistics relevant to machine learning and AIExperience with various machine learning algorithms (supervised, unsupervised, deep learning)Background in software engineering principles and best practicesPractical experience with model training frameworks such as TensorFlow, PyTorch, and Hugging FaceHands-on experience with LLMs, RAGs, and AI agent architecturesExcellent communication and teamwork skillsResponsibilitiesCollaborate with data scientists and subject matter experts to develop machine learning models using curated datasetsConduct experiments, prototypes, and proof-of-concepts to validate model performanceCreate scalable and reusable training pipelines utilizing Databricks notebooks and MLflowImplement and optimize models including LLMs, RAGs, and AI agent systems for various business applicationsOperationalize models with robust CI/CD workflows, deploying via MLflow, SageMaker, or custom APIsMonitor production models for accuracy, drift, and latency; manage retraining schedules accordinglyWork closely with Data Engineering teams to align ML pipelines with Medallion Architecture layers (Bronze, Silver, Gold)Engineer high-quality features and maintain training/inference pipelines for efficiency and reliabilityLeverage AWS cloud services such as S3, EC2, Lambda, and Step Functions for platform engineeringDocument ML artifacts, processes, and performance outcomes to ensure transparency and reproducibilityParticipate in agile project ceremonies and maintain ongoing communication with stakeholdersMentor junior team members and share knowledge to foster team growth and expertiseBenefitsCompetitive salary commensurate with experience and skillsComprehensive health, dental, and vision insurance plansRetirement savings plans with company matchingOpportunities for professional development and continuous learningWork on innovative projects with cutting-edge technologiesFlexible work arrangements and supportive work environmentPaid time off and holidaysEqual OpportunityHalvik Corp is an equal opportunity employer. We are committed to fostering an inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We believe diversity enriches our team and drives innovation, and we welcome applicants from all backgrounds to join our organization.","datePosted":"2026-06-02T00:11:59.928Z","dateModified":"2026-06-02T00:11:59.928Z","hiringOrganization":{"@type":"Organization","name":"Sundayy","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"690e77d7f046846fb2377b4f"},"url":"https://jobsearcher.com/jobs/690e77d7f046846fb2377b4f"}}