{"schemaVersion":"jobsearcher.job.v1","id":"fc1ee940364484053b39ca13","url":"https://jobsearcher.com/jobs/fc1ee940364484053b39ca13","canonicalUrl":"https://jobsearcher.com/jobs/fc1ee940364484053b39ca13","title":"Machine Learning Engineer - Dev / Data Sci","description":"Summary:DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing production‑ready ML models. Working within an interdisciplinary team, you will develop Python‑based AI solutions that run in scalable, cloud‑native environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.Essential Responsibilities:Design, train, evaluate and iterate on machine learning models to support DRC’s education analytics products\r\nDevelop high-quality, maintainable Python code for model training, experimentation and evaluation workflows\r\nCollaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments\r\nDiagnose and communicate issues related to model performance, data quality, or deployment behavior\r\nWork with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.\r\nContribute to best practices for model versioning, reproducibility and monitoring.\r\nRequired Qualifications:2+ years of professional experience with Python.\r\nExperience with ML frameworks such as TensorFlow or PyTorch\r\nExperience preparing datasets, training models and evaluating performance\r\nHands-on experience with NLP techniques and large language models (e.g., transformers)\r\nProficiency with data science tools and programming languages (e.g., Python, R, SQL).\r\nAbility to communicate technical findings and issues clearly across teams\r\nFamiliarity with deploying ML models to cloud-based environments (AWS preferred)\r\nUnderstanding of CI/CD concepts and how models move from experimentation to production\r\nAbility to identify and articulate deployment related issues without owning implementationPreferred Qualifications (nice to have, not required):Associates or Bachelor’s degree in Computer Science, Information Systems, Data Science or related technical field.\r\nHands-on experience working with large language models and prompt engineering (e.g., OpenAI)\r\nUnderstanding of the unique challenges and requirements of educational assessment data\r\nExperience working with version control (Git) and a collaborative development workflowEssential Job Requirements:\r\nBe able to work under supervision and accept feedback\r\nFamiliarity with Microsoft Office Suite\r\nRelate effectively and work respectfully with diverse work groups\r\nAbility to consistently perform well during times of increased workload\r\nSet and meet deadlines\r\nManage multiple job functions simultaneouslyReporting to this position:No direct reportsDRC retains the right to change or assign other duties to this position\r\nNo Agencies, Please\r\nCompany cannot provide sponsorship for this position\r\nwww.datarecognitioncorp.com\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.","company":"Data Recognition","rawCompany":"data recognition","city":"Osseo","state":"MN","isRemote":false,"isActive":false,"createdAt":"2026-04-24T01:13:10.800Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"611710","title":"Educational Support Services","slug":"educational-support-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Dev / Data Sci","description":"Summary:DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing production‑ready ML models. Working within an interdisciplinary team, you will develop Python‑based AI solutions that run in scalable, cloud‑native environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.Essential Responsibilities:Design, train, evaluate and iterate on machine learning models to support DRC’s education analytics products\r\nDevelop high-quality, maintainable Python code for model training, experimentation and evaluation workflows\r\nCollaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments\r\nDiagnose and communicate issues related to model performance, data quality, or deployment behavior\r\nWork with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.\r\nContribute to best practices for model versioning, reproducibility and monitoring.\r\nRequired Qualifications:2+ years of professional experience with Python.\r\nExperience with ML frameworks such as TensorFlow or PyTorch\r\nExperience preparing datasets, training models and evaluating performance\r\nHands-on experience with NLP techniques and large language models (e.g., transformers)\r\nProficiency with data science tools and programming languages (e.g., Python, R, SQL).\r\nAbility to communicate technical findings and issues clearly across teams\r\nFamiliarity with deploying ML models to cloud-based environments (AWS preferred)\r\nUnderstanding of CI/CD concepts and how models move from experimentation to production\r\nAbility to identify and articulate deployment related issues without owning implementationPreferred Qualifications (nice to have, not required):Associates or Bachelor’s degree in Computer Science, Information Systems, Data Science or related technical field.\r\nHands-on experience working with large language models and prompt engineering (e.g., OpenAI)\r\nUnderstanding of the unique challenges and requirements of educational assessment data\r\nExperience working with version control (Git) and a collaborative development workflowEssential Job Requirements:\r\nBe able to work under supervision and accept feedback\r\nFamiliarity with Microsoft Office Suite\r\nRelate effectively and work respectfully with diverse work groups\r\nAbility to consistently perform well during times of increased workload\r\nSet and meet deadlines\r\nManage multiple job functions simultaneouslyReporting to this position:No direct reportsDRC retains the right to change or assign other duties to this position\r\nNo Agencies, Please\r\nCompany cannot provide sponsorship for this position\r\nwww.datarecognitioncorp.com\r\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.","datePosted":"2026-04-24T01:13:10.800Z","dateModified":"2026-04-24T01:13:10.800Z","hiringOrganization":{"@type":"Organization","name":"Data Recognition","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Osseo","addressRegion":"MN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc1ee940364484053b39ca13"},"url":"https://jobsearcher.com/jobs/fc1ee940364484053b39ca13"}}