{"schemaVersion":"jobsearcher.job.v1","id":"d3108a421309e001a848253f","url":"https://jobsearcher.com/jobs/d3108a421309e001a848253f","canonicalUrl":"https://jobsearcher.com/jobs/d3108a421309e001a848253f","title":"Machine Learning Engineer","description":"About The RoleWe’re looking for a skilled and pragmatic Machine Learning Engineer to help us build intelligent systems that power our products. In this role, you’ll design, deploy, and maintain ML models in production—working closely with data scientists, engineers, and product teams to turn prototypes into scalable, reliable services.This position is ideal for someone who enjoys solving real-world problems with applied machine learning and cares deeply about model performance, efficiency, and impact.Key responsibilitiesWhat you’ll be doingBuild, train, evaluate, and deploy machine learning models for a range of applicationsCollaborate with data scientists to productionize research and prototypesOptimize model performance for speed, accuracy, and scalabilityIntegrate ML services into backend systems or APIsMonitor model behavior in production and implement tools for logging and retrainingWrite clean, modular, and tested code that fits into a shared codebaseContribute to architecture and infrastructure improvements for ML pipelinesStay current with advances in the ML and MLOps ecosystemRequirementsWhat you’ll need to succeed3+ years of experience in machine learning engineering or applied ML developmentProficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)Solid understanding of data structures, algorithms, and software engineering principlesExperience deploying ML models into production environmentsFamiliarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes)Ability to write production-quality code and collaborate in a team settingStrong debugging, performance profiling, and optimization skillsPreferred QualificationsThese would be a plusExperience with real-time inference, stream processing, or edge MLBackground in MLOps, feature stores, model versioning, and CI/CD for MLFamiliarity with big data tools (Spark, Kafka, Airflow, etc.)Understanding of data governance, model fairness, and ethical AIGraduate degree in computer science, machine learning, or related fieldHow to applyLet’s build smarter systems togetherTo Apply, Please Send UsYour resume or LinkedIn profileA short note about why this role interests youLinks to projects, GitHub repositories, or technical writing that showcase your work (optional)We aim to respond to qualified applicants within one week. Our hiring process includes a technical interview, a practical ML case exercise, and final conversations with the engineering team.","company":"Opsium","rawCompany":"opsium","city":"South Pasadena","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-23T13:45:35.380Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"About The RoleWe’re looking for a skilled and pragmatic Machine Learning Engineer to help us build intelligent systems that power our products. In this role, you’ll design, deploy, and maintain ML models in production—working closely with data scientists, engineers, and product teams to turn prototypes into scalable, reliable services.This position is ideal for someone who enjoys solving real-world problems with applied machine learning and cares deeply about model performance, efficiency, and impact.Key responsibilitiesWhat you’ll be doingBuild, train, evaluate, and deploy machine learning models for a range of applicationsCollaborate with data scientists to productionize research and prototypesOptimize model performance for speed, accuracy, and scalabilityIntegrate ML services into backend systems or APIsMonitor model behavior in production and implement tools for logging and retrainingWrite clean, modular, and tested code that fits into a shared codebaseContribute to architecture and infrastructure improvements for ML pipelinesStay current with advances in the ML and MLOps ecosystemRequirementsWhat you’ll need to succeed3+ years of experience in machine learning engineering or applied ML developmentProficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)Solid understanding of data structures, algorithms, and software engineering principlesExperience deploying ML models into production environmentsFamiliarity with cloud platforms (AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes)Ability to write production-quality code and collaborate in a team settingStrong debugging, performance profiling, and optimization skillsPreferred QualificationsThese would be a plusExperience with real-time inference, stream processing, or edge MLBackground in MLOps, feature stores, model versioning, and CI/CD for MLFamiliarity with big data tools (Spark, Kafka, Airflow, etc.)Understanding of data governance, model fairness, and ethical AIGraduate degree in computer science, machine learning, or related fieldHow to applyLet’s build smarter systems togetherTo Apply, Please Send UsYour resume or LinkedIn profileA short note about why this role interests youLinks to projects, GitHub repositories, or technical writing that showcase your work (optional)We aim to respond to qualified applicants within one week. Our hiring process includes a technical interview, a practical ML case exercise, and final conversations with the engineering team.","datePosted":"2026-07-23T13:45:35.380Z","dateModified":"2026-07-23T13:45:35.380Z","hiringOrganization":{"@type":"Organization","name":"Opsium","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"South Pasadena","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d3108a421309e001a848253f"},"url":"https://jobsearcher.com/jobs/d3108a421309e001a848253f"}}