{"schemaVersion":"jobsearcher.job.v1","id":"cdf869db122dc3b23637626b","url":"https://jobsearcher.com/jobs/cdf869db122dc3b23637626b","canonicalUrl":"https://jobsearcher.com/jobs/cdf869db122dc3b23637626b","title":"Machine Learning Engineer","description":"Job description\nRequired Skills & Qualifications:\nPython: Deep expertise in Python for scripting and automation.\nAWS: Strong experience with AWS services, particularly SageMaker, S3, and Lambda.\nTerraform: Proficiency in using Terraform for infrastructure-as-code on AWS.\nDocker: Extensive experience with Docker, including building, managing, and securing Docker images.\nLinux: Strong command-line skills in Linux, especially for Docker and system management.\nDevOps Experience: Azure DevOps (ADO): Significant experience in setting up and managing CI/CD pipelines in ADO.\nGit: Proficient in using Git for version control and collaboration.\nProven experience in developing and managing both batch and real-time APIs, preferably in a Kafka-based event-driven architecture.\nExpertise in API development, including both batch and real-time data processing. Exposure to API documentation tools like Swagger. Strong understanding of schema design and data serialization formats such as JSON.\nAdditional DevOps Tools: Experience with Jenkins or other CI/CD tools is a plus.\nExperience & Education: 4 years of experience in combination of MLOps/DevOps/Data Engineering; Bachelor's degree in Computer Science, Engineering, or a related discipline.\nPreferred Qualifications:\nExperience with large language models and productionizing ML models in a cloud environment.\nExposure to near real-time inference systems and batch processing in ML.\nFamiliarity with data drift and model drift management.\nJob Type: Full-time\nPay: $90,000.00 - $95,000.00 per year\nSchedule:\n8 hour shift\nDay shift\nMonday to Friday\nExperience:\nDocker: 1 year (Required)\nAWS: 1 year (Required)\nAPIs: 1 year (Required)\nPython: 1 year (Required)\nTerraform: 1 year (Required)\nAbility to Commute:\nColumbus, OH 43219 (Required)\nWork Location: In person","company":"Devcare Solutions","rawCompany":"devcare solutions","city":"Columbus","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:11:44.694Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Job description\nRequired Skills & Qualifications:\nPython: Deep expertise in Python for scripting and automation.\nAWS: Strong experience with AWS services, particularly SageMaker, S3, and Lambda.\nTerraform: Proficiency in using Terraform for infrastructure-as-code on AWS.\nDocker: Extensive experience with Docker, including building, managing, and securing Docker images.\nLinux: Strong command-line skills in Linux, especially for Docker and system management.\nDevOps Experience: Azure DevOps (ADO): Significant experience in setting up and managing CI/CD pipelines in ADO.\nGit: Proficient in using Git for version control and collaboration.\nProven experience in developing and managing both batch and real-time APIs, preferably in a Kafka-based event-driven architecture.\nExpertise in API development, including both batch and real-time data processing. Exposure to API documentation tools like Swagger. Strong understanding of schema design and data serialization formats such as JSON.\nAdditional DevOps Tools: Experience with Jenkins or other CI/CD tools is a plus.\nExperience & Education: 4 years of experience in combination of MLOps/DevOps/Data Engineering; Bachelor's degree in Computer Science, Engineering, or a related discipline.\nPreferred Qualifications:\nExperience with large language models and productionizing ML models in a cloud environment.\nExposure to near real-time inference systems and batch processing in ML.\nFamiliarity with data drift and model drift management.\nJob Type: Full-time\nPay: $90,000.00 - $95,000.00 per year\nSchedule:\n8 hour shift\nDay shift\nMonday to Friday\nExperience:\nDocker: 1 year (Required)\nAWS: 1 year (Required)\nAPIs: 1 year (Required)\nPython: 1 year (Required)\nTerraform: 1 year (Required)\nAbility to Commute:\nColumbus, OH 43219 (Required)\nWork Location: In person","datePosted":"2026-04-12T21:11:44.694Z","dateModified":"2026-04-12T21:11:44.694Z","hiringOrganization":{"@type":"Organization","name":"Devcare Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbus","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cdf869db122dc3b23637626b"},"url":"https://jobsearcher.com/jobs/cdf869db122dc3b23637626b"}}