{"schemaVersion":"jobsearcher.job.v1","id":"f5c3dfaefa234d47847ccfe5","url":"https://jobsearcher.com/jobs/f5c3dfaefa234d47847ccfe5","canonicalUrl":"https://jobsearcher.com/jobs/f5c3dfaefa234d47847ccfe5","title":"IT Software Engineer 3","description":"Job Title: IT Software Engineer 3 – MLOps PlatformLocation: Chicago, IL (Hybrid – onsite 2–3 days/week)Compensation: $72–75/hr W2 with medical, dental, vision, and 401k matchOverviewThis role supports the development of a scalable MLOps platform within an enterprise data and analytics environment. The position focuses on enabling the full machine learning lifecycle, from development through production, while improving platform adoption, reliability, and user experience for data science and engineering teams.Key ResponsibilitiesDesign and build scalable, secure architectures and pipelines for production ML systemsDevelop and maintain MLOps platforms supporting model training, deployment, monitoring, and retrainingEnable self-service ML development workflows and support platform adoption across teamsImplement CI/CD pipelines, containerization, and cloud-based ML solutions (AWS)Monitor model performance, data quality, and concept drift while optimizing system reliabilityCollaborate with data science, engineering, and DevOps teams in an Agile environmentTroubleshoot platform issues and provide documentation and best practicesRequired Qualifications5+ years of experience with object-oriented programming (Python, Java, or similar)Hands-on experience with MLOps frameworks (e.g., MLflow, Kubeflow)Strong experience with AWS and cloud-based ML pipelinesExperience with CI/CD tools and DevOps practicesProficiency with Docker, Kubernetes, and infrastructure-as-code toolsStrong collaboration and communication skillsPreferred QualificationsExperience with ML inference systems and advanced deployment strategiesExposure to Terraform or CloudFormationExperience with observability and monitoring tools for ML systemsAdditional NotesThis is a hands-on individual contributor role supporting internal engineering and data teamsCandidates must be comfortable working onsite in a hybrid environment and contributing directly to platform development efforts#INDOEM","company":"Epitec","rawCompany":"epitec","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-05-03T11:00:39.472Z","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":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"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":"IT Software Engineer 3","description":"Job Title: IT Software Engineer 3 – MLOps PlatformLocation: Chicago, IL (Hybrid – onsite 2–3 days/week)Compensation: $72–75/hr W2 with medical, dental, vision, and 401k matchOverviewThis role supports the development of a scalable MLOps platform within an enterprise data and analytics environment. The position focuses on enabling the full machine learning lifecycle, from development through production, while improving platform adoption, reliability, and user experience for data science and engineering teams.Key ResponsibilitiesDesign and build scalable, secure architectures and pipelines for production ML systemsDevelop and maintain MLOps platforms supporting model training, deployment, monitoring, and retrainingEnable self-service ML development workflows and support platform adoption across teamsImplement CI/CD pipelines, containerization, and cloud-based ML solutions (AWS)Monitor model performance, data quality, and concept drift while optimizing system reliabilityCollaborate with data science, engineering, and DevOps teams in an Agile environmentTroubleshoot platform issues and provide documentation and best practicesRequired Qualifications5+ years of experience with object-oriented programming (Python, Java, or similar)Hands-on experience with MLOps frameworks (e.g., MLflow, Kubeflow)Strong experience with AWS and cloud-based ML pipelinesExperience with CI/CD tools and DevOps practicesProficiency with Docker, Kubernetes, and infrastructure-as-code toolsStrong collaboration and communication skillsPreferred QualificationsExperience with ML inference systems and advanced deployment strategiesExposure to Terraform or CloudFormationExperience with observability and monitoring tools for ML systemsAdditional NotesThis is a hands-on individual contributor role supporting internal engineering and data teamsCandidates must be comfortable working onsite in a hybrid environment and contributing directly to platform development efforts#INDOEM","datePosted":"2026-05-03T11:00:39.472Z","dateModified":"2026-05-03T11:00:39.472Z","hiringOrganization":{"@type":"Organization","name":"Epitec","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f5c3dfaefa234d47847ccfe5"},"url":"https://jobsearcher.com/jobs/f5c3dfaefa234d47847ccfe5"}}