{"schemaVersion":"jobsearcher.job.v1","id":"e51884b53f597db7485ac3ed","url":"https://jobsearcher.com/jobs/e51884b53f597db7485ac3ed","canonicalUrl":"https://jobsearcher.com/jobs/e51884b53f597db7485ac3ed","title":"Machine Learning Lead Engineer : Fractal AI","description":"Interview : VideoVisa : USC, GC, GC EADLocations : Minneapolis, Seattle, Chicago, or Bay Area ( candidate must be local to any of these locations )DescriptionMandatory Skills: 3-5 years experience working with MLOps system Must have Healthcare industry experience 3-5 years of experience in developing/working on MLOps systems, and an overall experience of 10+ years into Data Science Expert on using Python to develop scripts for MLOps Expert on cloud platform (Azure/AWS) developer environmentsRequirementsExperience in Designing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale Organizing offline models that data scientists build and turn them into a real machine learning production system Developing and deploying scalable tools and services for our clients to handle machine learning training and inference Understanding application of software engineering rigor and best practices to machine learning, like CI/CD, automation, auditability, versioning, and data security (KubeFlow, MLFlow) Developing and maintaining Client systems built with open source tools (Kale) Facilitate the development and deployment of proof-of-concept machine learning systems Previous work with data drift model drift Expertise on Kubernetes, Kafka, and/or docker Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) Expert in using AWS or Azure Client tools (SageMaker/Azure Client etc.) [preferred]","company":"ShiftCode Analytics","rawCompany":"shiftcode analytics","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T16:00:14.347Z","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":"622110","title":"General Medical and Surgical Hospitals","slug":"general-medical-and-surgical-hospitals"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Lead Engineer : Fractal AI","description":"Interview : VideoVisa : USC, GC, GC EADLocations : Minneapolis, Seattle, Chicago, or Bay Area ( candidate must be local to any of these locations )DescriptionMandatory Skills: 3-5 years experience working with MLOps system Must have Healthcare industry experience 3-5 years of experience in developing/working on MLOps systems, and an overall experience of 10+ years into Data Science Expert on using Python to develop scripts for MLOps Expert on cloud platform (Azure/AWS) developer environmentsRequirementsExperience in Designing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale Organizing offline models that data scientists build and turn them into a real machine learning production system Developing and deploying scalable tools and services for our clients to handle machine learning training and inference Understanding application of software engineering rigor and best practices to machine learning, like CI/CD, automation, auditability, versioning, and data security (KubeFlow, MLFlow) Developing and maintaining Client systems built with open source tools (Kale) Facilitate the development and deployment of proof-of-concept machine learning systems Previous work with data drift model drift Expertise on Kubernetes, Kafka, and/or docker Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.) Expert in using AWS or Azure Client tools (SageMaker/Azure Client etc.) [preferred]","datePosted":"2026-04-12T16:00:14.347Z","dateModified":"2026-04-12T16:00:14.347Z","hiringOrganization":{"@type":"Organization","name":"ShiftCode Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e51884b53f597db7485ac3ed"},"url":"https://jobsearcher.com/jobs/e51884b53f597db7485ac3ed"}}