{"schemaVersion":"jobsearcher.job.v1","id":"ded9e37e9586dcf0a8135a9b","url":"https://jobsearcher.com/jobs/ded9e37e9586dcf0a8135a9b","canonicalUrl":"https://jobsearcher.com/jobs/ded9e37e9586dcf0a8135a9b","title":"Machine Learning Engineer","description":"Pay Range:\n$110000 - $130000 / year\n\nOur Perks & Benefits:_\nComprehensive benefits package including medical, dental, vision, and life insurance\nPerformance-based bonuses to reward your contributions*\nPaid time off to recharge and maintain a healthy work-life balance\nFlexible work options, including remote and hybrid opportunities, if eligible\nRetirement Plan (401k) with company-matched contributions\nEducation Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund\nFitness Reimbursement – up to $15/month for gym memberships\nInclusive workplace through a strong commitment to Diversity, Equity, and Inclusion\nEmployee Assistance Program – confidential support for personal or professional challenges, at no cost\nExtra Perks – optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance\n\nPurpose\nWork under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models\n\nEssential Duties & Responsibilities\nResearch, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework\nDevelop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis\nUtilize LLMs and Generative AI to provide software automation capability integrations\nBuild and operationalize Retrieval Augmented Generation (RAG) frameworks\nEnhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience\nPerform data cleansing, analysis, and feature engineering using Python\nAbility to work with multiple data sources and types (structured/semi-structured/unstructured)\nAssess the effectiveness and accuracy of new data sources and execute data-wrangling techniques\nParticipate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting\nCommunicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques\nCollaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications\nStay up-to-date with industry trends and advancements in artificial intelligence/machine learning\nOn call support\n\nQualifications and Education Requirements\nMaster's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)\nExpertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)\nProficient SQL skills and experience working with large data sets (big data, IoT data)\nProficient with programming and modeling using Python\nKnowledge of modeling in pre-training & fine tuning foundation LLM models\nKnowledge of LangChain and sentence transformer frameworks\nKnowledge of ChatGPT4 (or comparable models)\nExperience applying current machine learning techniques\nKnowledge of evolving data science concepts and best practices\n\nOther Duties\nThis job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\n\nNotice\nAs permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie’s use of these computer systems should contact Human Resources at employeerelations@confie.com\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.","company":"Confie","rawCompany":"confie","city":"Addison","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-04T15:56:42.958Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"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":"Pay Range:\n$110000 - $130000 / year\n\nOur Perks & Benefits:_\nComprehensive benefits package including medical, dental, vision, and life insurance\nPerformance-based bonuses to reward your contributions*\nPaid time off to recharge and maintain a healthy work-life balance\nFlexible work options, including remote and hybrid opportunities, if eligible\nRetirement Plan (401k) with company-matched contributions\nEducation Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund\nFitness Reimbursement – up to $15/month for gym memberships\nInclusive workplace through a strong commitment to Diversity, Equity, and Inclusion\nEmployee Assistance Program – confidential support for personal or professional challenges, at no cost\nExtra Perks – optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance\n\nPurpose\nWork under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models\n\nEssential Duties & Responsibilities\nResearch, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework\nDevelop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis\nUtilize LLMs and Generative AI to provide software automation capability integrations\nBuild and operationalize Retrieval Augmented Generation (RAG) frameworks\nEnhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience\nPerform data cleansing, analysis, and feature engineering using Python\nAbility to work with multiple data sources and types (structured/semi-structured/unstructured)\nAssess the effectiveness and accuracy of new data sources and execute data-wrangling techniques\nParticipate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting\nCommunicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques\nCollaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications\nStay up-to-date with industry trends and advancements in artificial intelligence/machine learning\nOn call support\n\nQualifications and Education Requirements\nMaster's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)\nExpertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)\nProficient SQL skills and experience working with large data sets (big data, IoT data)\nProficient with programming and modeling using Python\nKnowledge of modeling in pre-training & fine tuning foundation LLM models\nKnowledge of LangChain and sentence transformer frameworks\nKnowledge of ChatGPT4 (or comparable models)\nExperience applying current machine learning techniques\nKnowledge of evolving data science concepts and best practices\n\nOther Duties\nThis job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.\n\nNotice\nAs permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie’s use of these computer systems should contact Human Resources at employeerelations@confie.com\nEqual Opportunity Employer\nThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.","datePosted":"2026-08-04T15:56:42.958Z","dateModified":"2026-08-04T15:56:42.958Z","hiringOrganization":{"@type":"Organization","name":"Confie","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Addison","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ded9e37e9586dcf0a8135a9b"},"url":"https://jobsearcher.com/jobs/ded9e37e9586dcf0a8135a9b"}}