{"schemaVersion":"jobsearcher.job.v1","id":"49f7f4bc3b937fddcdc8284e","url":"https://jobsearcher.com/jobs/49f7f4bc3b937fddcdc8284e","canonicalUrl":"https://jobsearcher.com/jobs/49f7f4bc3b937fddcdc8284e","title":"MLOps Engineer","description":"Role: MLOps Engineer (AWS) Location: Columbus, OH (Hybrid/Onsite)Type: Long-Term ContractJob DescriptionWe are seeking an experienced MLOps Engineer with strong AWS cloud expertise to support enterprise Machine Learning and GenAI platforms within a large-scale banking environment.The ideal candidate will be responsible for building, automating, deploying, monitoring, and managing machine learning models throughout their lifecycle while ensuring scalability, security, and compliance.Required Skills8+ years of IT experience3+ years of hands-on MLOps experienceStrong AWS Cloud experienceExperience with SageMaker, EKS, ECS, LambdaPython development expertiseML model deployment and automationCI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)Docker & KubernetesInfrastructure as Code (Terraform preferred)Data pipelines and model monitoringCloudWatch, Prometheus, GrafanaGit version controlAgile/Scrum environment experiencePreferred SkillsGenAI / LLM deployment experienceRAG architecture exposureBedrock/OpenAI integration experienceFinancial Services or Banking domainSnowflakeDatabricksApache AirflowFeature Store implementationResponsibilitiesDesign and implement MLOps frameworks on AWS.Build CI/CD pipelines for ML model deployment.Automate model training, validation, deployment, and monitoring.Develop scalable infrastructure using Terraform and Kubernetes.Manage SageMaker model lifecycle and inference endpoints.Collaborate with Data Scientists and ML Engineers.Implement monitoring, logging, and governance controls.Support production model troubleshooting and performance tuning.Ensure compliance with enterprise security and regulatory requirements.Nice-to-Have CertificationsAWS Certified Machine Learning SpecialtyAWS Solutions Architect Associate/ProfessionalAbout Smart IT Frame:At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together📩 Apply today or share profiles at ajayjoshuva.p@smartitframe.com","company":"Smart IT Frame","rawCompany":"smart it frame","city":"Columbus","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-09-10T09:05:29.367Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"MLOps Engineer","description":"Role: MLOps Engineer (AWS) Location: Columbus, OH (Hybrid/Onsite)Type: Long-Term ContractJob DescriptionWe are seeking an experienced MLOps Engineer with strong AWS cloud expertise to support enterprise Machine Learning and GenAI platforms within a large-scale banking environment.The ideal candidate will be responsible for building, automating, deploying, monitoring, and managing machine learning models throughout their lifecycle while ensuring scalability, security, and compliance.Required Skills8+ years of IT experience3+ years of hands-on MLOps experienceStrong AWS Cloud experienceExperience with SageMaker, EKS, ECS, LambdaPython development expertiseML model deployment and automationCI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)Docker & KubernetesInfrastructure as Code (Terraform preferred)Data pipelines and model monitoringCloudWatch, Prometheus, GrafanaGit version controlAgile/Scrum environment experiencePreferred SkillsGenAI / LLM deployment experienceRAG architecture exposureBedrock/OpenAI integration experienceFinancial Services or Banking domainSnowflakeDatabricksApache AirflowFeature Store implementationResponsibilitiesDesign and implement MLOps frameworks on AWS.Build CI/CD pipelines for ML model deployment.Automate model training, validation, deployment, and monitoring.Develop scalable infrastructure using Terraform and Kubernetes.Manage SageMaker model lifecycle and inference endpoints.Collaborate with Data Scientists and ML Engineers.Implement monitoring, logging, and governance controls.Support production model troubleshooting and performance tuning.Ensure compliance with enterprise security and regulatory requirements.Nice-to-Have CertificationsAWS Certified Machine Learning SpecialtyAWS Solutions Architect Associate/ProfessionalAbout Smart IT Frame:At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together📩 Apply today or share profiles at ajayjoshuva.p@smartitframe.com","datePosted":"2026-09-10T09:05:29.367Z","dateModified":"2026-09-10T09:05:29.367Z","hiringOrganization":{"@type":"Organization","name":"Smart IT Frame","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbus","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"49f7f4bc3b937fddcdc8284e"},"url":"https://jobsearcher.com/jobs/49f7f4bc3b937fddcdc8284e"}}