{"schemaVersion":"jobsearcher.job.v1","id":"7facde48bb4ebf99a2abf637","url":"https://jobsearcher.com/jobs/7facde48bb4ebf99a2abf637","canonicalUrl":"https://jobsearcher.com/jobs/7facde48bb4ebf99a2abf637","title":"MLOps Engineer","description":"Key Responsibilities\nDevelop and deploy machine learning applications for prediction, recommendation, text analytics, computer vision, bots, and document intelligence.\nDesign and maintain infrastructure for dataset ingestion, normalization, and combination to derive actionable insights.\nDeploy and validate machine learning models using frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.\nUtilize Azure ML Studio and Azure Kubernetes Service for scalable model inferencing and deployment.\nAutomate deployments using Terraform and DevOps principles, ensuring high-quality model validation and quality control.\nCollaborate with cross-functional teams to ensure client satisfaction and project success.\nRequirements\n8+ years of experience in MLOps and cloud-based machine learning deployments.\nHands-on expertise with Azure ML Studio, Azure Kubernetes Service, and Terraform for infrastructure as code.\nProficiency in Python and open-source ML frameworks (TensorFlow, PyTorch, Keras, Spacy, scikit-learn).\nExperience with model inferencing, validation, and deployment pipelines.\nStrong understanding of DevOps principles and automated deployment workflows.\n\n#J-18808-Ljbffr","company":"Gravity Engineering Services","rawCompany":"gravity engineering services","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:57:21.185Z","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":"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":"MLOps Engineer","description":"Key Responsibilities\nDevelop and deploy machine learning applications for prediction, recommendation, text analytics, computer vision, bots, and document intelligence.\nDesign and maintain infrastructure for dataset ingestion, normalization, and combination to derive actionable insights.\nDeploy and validate machine learning models using frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.\nUtilize Azure ML Studio and Azure Kubernetes Service for scalable model inferencing and deployment.\nAutomate deployments using Terraform and DevOps principles, ensuring high-quality model validation and quality control.\nCollaborate with cross-functional teams to ensure client satisfaction and project success.\nRequirements\n8+ years of experience in MLOps and cloud-based machine learning deployments.\nHands-on expertise with Azure ML Studio, Azure Kubernetes Service, and Terraform for infrastructure as code.\nProficiency in Python and open-source ML frameworks (TensorFlow, PyTorch, Keras, Spacy, scikit-learn).\nExperience with model inferencing, validation, and deployment pipelines.\nStrong understanding of DevOps principles and automated deployment workflows.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:57:21.185Z","dateModified":"2026-07-16T03:57:21.185Z","hiringOrganization":{"@type":"Organization","name":"Gravity Engineering Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7facde48bb4ebf99a2abf637"},"url":"https://jobsearcher.com/jobs/7facde48bb4ebf99a2abf637"}}