{"schemaVersion":"jobsearcher.job.v1","id":"af5a09fb3f7709db25607934","url":"https://jobsearcher.com/jobs/af5a09fb3f7709db25607934","canonicalUrl":"https://jobsearcher.com/jobs/af5a09fb3f7709db25607934","title":"Machine Learning Engineer","description":"Title: ML Ops Engineer Location: REMOTEType: Full TimeDescription:As part of a team of dedicated AI problem solvers, an AMOE draws upon their practical skills to build CI/CD pipelines, deploy applications, promote security by design, and generally automate all the things. Our team creates production ML/AI applications spanning multiple business domains, from logistics and operations to sales and business optimization. Our work often involves collaboration with vendors, business stakeholders, etc., therefore communication skills and the ability to capture ideas in diagrams and documentation are equally important. To help everyone sleep soundly at night, we seek teammates who write code with an eye for maintainability and testability. We like integration tests, CI/CD, observability, and twelve-factor design.Preferred Qualifications:Fluent in Python. Fluent candidates can comfortably: read and write Python code; write method and class docstrings; manage package dependencies in a principled way.Comfortable with git. We use GitHub extensively to develop and deploy our code; candidates should be comfortable writing quality PRs, utilizing GitOps, etc.Strong command lines skills in *nix environments. Our code is built in and deployed to Unix-like environments; candidates should feel at home on the command line.Excellent understanding of networking and security. Our work often extends across multiple networks and environments and deals with sensitive data.Understands containers and orchestration. The ideal candidate will be comfortable containerizing applications, working with Kubernetes, and running systems in production.Experienced in IaC and cloud deployment. We deploy applications to private and public cloud environments using cloud-native tooling and IaC principles (Terraform, Argo CD, Istio, etc.).Familiar with ML/AI concepts and practices. Candidates should be comfortable with concepts such as model development, training, and monitoring.","company":"Apexon","rawCompany":"apexon","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T11:25:06.817Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Title: ML Ops Engineer Location: REMOTEType: Full TimeDescription:As part of a team of dedicated AI problem solvers, an AMOE draws upon their practical skills to build CI/CD pipelines, deploy applications, promote security by design, and generally automate all the things. Our team creates production ML/AI applications spanning multiple business domains, from logistics and operations to sales and business optimization. Our work often involves collaboration with vendors, business stakeholders, etc., therefore communication skills and the ability to capture ideas in diagrams and documentation are equally important. To help everyone sleep soundly at night, we seek teammates who write code with an eye for maintainability and testability. We like integration tests, CI/CD, observability, and twelve-factor design.Preferred Qualifications:Fluent in Python. Fluent candidates can comfortably: read and write Python code; write method and class docstrings; manage package dependencies in a principled way.Comfortable with git. We use GitHub extensively to develop and deploy our code; candidates should be comfortable writing quality PRs, utilizing GitOps, etc.Strong command lines skills in *nix environments. Our code is built in and deployed to Unix-like environments; candidates should feel at home on the command line.Excellent understanding of networking and security. Our work often extends across multiple networks and environments and deals with sensitive data.Understands containers and orchestration. The ideal candidate will be comfortable containerizing applications, working with Kubernetes, and running systems in production.Experienced in IaC and cloud deployment. We deploy applications to private and public cloud environments using cloud-native tooling and IaC principles (Terraform, Argo CD, Istio, etc.).Familiar with ML/AI concepts and practices. Candidates should be comfortable with concepts such as model development, training, and monitoring.","datePosted":"2026-08-14T11:25:06.817Z","dateModified":"2026-08-14T11:25:06.817Z","hiringOrganization":{"@type":"Organization","name":"Apexon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"af5a09fb3f7709db25607934"},"url":"https://jobsearcher.com/jobs/af5a09fb3f7709db25607934"}}