{"schemaVersion":"jobsearcher.job.v1","id":"a159c15b2c4f24b0c8ae8d20","url":"https://jobsearcher.com/jobs/a159c15b2c4f24b0c8ae8d20","canonicalUrl":"https://jobsearcher.com/jobs/a159c15b2c4f24b0c8ae8d20","title":"MLOps Engineer","description":"ML Engineer role:\n10+ years’ experience\nWork and collaborate with data science and engineering teams to deploy and scale models and algorithms.\nOperationalize complex machine learning models into production including end to end deployment.\nUnderstand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .\nWorking knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.\nDesign, Develop and maintain adaptable data pipelines to maintain use case specific data.\nIntegrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.\nDevelop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.\nSupport the operationalized models and develop runbooks for maintenance.\nJob Type: Full-time\nPay: $107,664.00 - $120,000.00 per year\nSchedule:\n8 hour shift\nMonday to Friday\nExperience:\nMLOps: 10 years (Required)\nscikit learn: 10 years (Required)\nWork Location: In person","company":"Fixity Technologies","rawCompany":"fixity technologies","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-05T11:22:51.536Z","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":"MLOps Engineer","description":"ML Engineer role:\n10+ years’ experience\nWork and collaborate with data science and engineering teams to deploy and scale models and algorithms.\nOperationalize complex machine learning models into production including end to end deployment.\nUnderstand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .\nWorking knowledge of standard ML packages like scikit learn, vader sentiment, pandas, pyspark.\nDesign, Develop and maintain adaptable data pipelines to maintain use case specific data.\nIntegrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.\nDevelop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.\nSupport the operationalized models and develop runbooks for maintenance.\nJob Type: Full-time\nPay: $107,664.00 - $120,000.00 per year\nSchedule:\n8 hour shift\nMonday to Friday\nExperience:\nMLOps: 10 years (Required)\nscikit learn: 10 years (Required)\nWork Location: In person","datePosted":"2026-08-05T11:22:51.536Z","dateModified":"2026-08-05T11:22:51.536Z","hiringOrganization":{"@type":"Organization","name":"Fixity Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a159c15b2c4f24b0c8ae8d20"},"url":"https://jobsearcher.com/jobs/a159c15b2c4f24b0c8ae8d20"}}