{"schemaVersion":"jobsearcher.job.v1","id":"d3ebbb7f57ad3ac6cce4e548","url":"https://jobsearcher.com/jobs/d3ebbb7f57ad3ac6cce4e548","canonicalUrl":"https://jobsearcher.com/jobs/d3ebbb7f57ad3ac6cce4e548","title":"Machine Learning Engineer","description":"Role Overview Apply your machine learning expertise to help train next-generation AI systems, contributing high-quality, real-world input that improves how models learn, reason, and perform. Key Responsibilities Design, develop, and refine machine learning models using Python and relevant libraries to meet project objectives. Analyze large datasets and use MongoDB to manage and retrieve data for model training and validation. Work with cross-functional contributors to identify model improvements and implement robust solutions. Evaluate models thoroughly, tune hyperparameters, and benchmark results to support optimal performance. Document methodologies, experiments, and outcomes to create transparent, repeatable workflows. Integrate data pipelines and preprocessing workflows to streamline training and inference. Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes. Qualifications Demonstrated Python expertise and familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Hands-on MongoDB experience for data manipulation, storage, and retrieval in machine learning projects. Strong problem-solving skills and a record of delivering innovative machine learning solutions in real-world settings. Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques. Experience deploying or operationalizing machine learning models in cloud or enterprise environments is preferred. Clear written documentation and communication skills for sharing technical findings and best practices. Ability to adapt to evolving project requirements and collaborate effectively in a remote environment. Work Terms Remote contract engagement. Compensation $80 to $140 per hour.","company":"Confidential","rawCompany":"confidential","city":"Wilsons Mills","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-09-08T11:08:41.124Z","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":"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":"Machine Learning Engineer","description":"Role Overview Apply your machine learning expertise to help train next-generation AI systems, contributing high-quality, real-world input that improves how models learn, reason, and perform. Key Responsibilities Design, develop, and refine machine learning models using Python and relevant libraries to meet project objectives. Analyze large datasets and use MongoDB to manage and retrieve data for model training and validation. Work with cross-functional contributors to identify model improvements and implement robust solutions. Evaluate models thoroughly, tune hyperparameters, and benchmark results to support optimal performance. Document methodologies, experiments, and outcomes to create transparent, repeatable workflows. Integrate data pipelines and preprocessing workflows to streamline training and inference. Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes. Qualifications Demonstrated Python expertise and familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Hands-on MongoDB experience for data manipulation, storage, and retrieval in machine learning projects. Strong problem-solving skills and a record of delivering innovative machine learning solutions in real-world settings. Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques. Experience deploying or operationalizing machine learning models in cloud or enterprise environments is preferred. Clear written documentation and communication skills for sharing technical findings and best practices. Ability to adapt to evolving project requirements and collaborate effectively in a remote environment. Work Terms Remote contract engagement. Compensation $80 to $140 per hour.","datePosted":"2026-09-08T11:08:41.124Z","dateModified":"2026-09-08T11:08:41.124Z","hiringOrganization":{"@type":"Organization","name":"Confidential","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilsons Mills","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d3ebbb7f57ad3ac6cce4e548"},"url":"https://jobsearcher.com/jobs/d3ebbb7f57ad3ac6cce4e548"}}