{"schemaVersion":"jobsearcher.job.v1","id":"692df13fca428690f0a2b6e9","url":"https://jobsearcher.com/jobs/692df13fca428690f0a2b6e9","canonicalUrl":"https://jobsearcher.com/jobs/692df13fca428690f0a2b6e9","title":"Data Engineer-Machine Learning - 2","description":"IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.\r\nYour role and responsibilitiesAs a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization.\r\nYour primary responsibilities will include:\r\nDevelop Machine Learning Solutions: Design and implement Machine Learning models to solve complex business problems, selecting relevant features and algorithms to achieve desired outcomes.\r\nEvaluate Algorithm Performance: Assess the effectiveness of Machine Learning algorithms using relevant metrics, identifying areas for improvement and optimizing model performance.\r\nInterpret Statistical Data: Analyze and interpret complex statistical data to inform business decisions, communicating insights and recommendations to stakeholders.\r\nCommunicate Results: Clearly articulate the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes.\r\nDrive Informed Decision-Making: Collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices.\r\nThis role can be performed from anywhere in the United States of America.\r\nRequired technical and professional expertiseDeep Expertise in Machine Learning: Proven ability to apply Machine Learning concepts and techniques to address complex business challenges, leveraging expertise in algorithm selection, feature engineering, and model optimization.\r\nExperience with Statistical Data Analysis: Skilled in interpreting and analyzing complex statistical data to inform business decisions, with the ability to identify relevant trends and patterns.\r\nAlgorithm Evaluation and Optimization: Experienced in evaluating the performance of Machine Learning algorithms using relevant metrics, with a strong understanding of optimization techniques to improve model performance.\r\nEffective Communication of Results: Adept at clearly articulating the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes.\r\nStrategic Decision-Making: Proven ability to collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices.\r\nPreferred technical and professional experienceAdvanced Statistical Modeling: Experience with developing and applying advanced statistical models to drive business insights, leveraging techniques such as regression analysis, time series forecasting, and hypothesis testing.\r\nMachine Learning Frameworks: Familiarity with popular Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn, with the ability to design and implement scalable Machine Learning solutions.\r\nData Visualization Tools: Exposure to data visualization tools such as Tableau, Power BI, or D3.js, with the ability to effectively communicate complex data insights to stakeholders.\r\nIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.#J-18808-Ljbffr","company":"JobLeads","rawCompany":"jobleadsus","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-11T01:16:47.799Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer-Machine Learning - 2","description":"IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.\r\nYour role and responsibilitiesAs a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization.\r\nYour primary responsibilities will include:\r\nDevelop Machine Learning Solutions: Design and implement Machine Learning models to solve complex business problems, selecting relevant features and algorithms to achieve desired outcomes.\r\nEvaluate Algorithm Performance: Assess the effectiveness of Machine Learning algorithms using relevant metrics, identifying areas for improvement and optimizing model performance.\r\nInterpret Statistical Data: Analyze and interpret complex statistical data to inform business decisions, communicating insights and recommendations to stakeholders.\r\nCommunicate Results: Clearly articulate the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes.\r\nDrive Informed Decision-Making: Collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices.\r\nThis role can be performed from anywhere in the United States of America.\r\nRequired technical and professional expertiseDeep Expertise in Machine Learning: Proven ability to apply Machine Learning concepts and techniques to address complex business challenges, leveraging expertise in algorithm selection, feature engineering, and model optimization.\r\nExperience with Statistical Data Analysis: Skilled in interpreting and analyzing complex statistical data to inform business decisions, with the ability to identify relevant trends and patterns.\r\nAlgorithm Evaluation and Optimization: Experienced in evaluating the performance of Machine Learning algorithms using relevant metrics, with a strong understanding of optimization techniques to improve model performance.\r\nEffective Communication of Results: Adept at clearly articulating the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes.\r\nStrategic Decision-Making: Proven ability to collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices.\r\nPreferred technical and professional experienceAdvanced Statistical Modeling: Experience with developing and applying advanced statistical models to drive business insights, leveraging techniques such as regression analysis, time series forecasting, and hypothesis testing.\r\nMachine Learning Frameworks: Familiarity with popular Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn, with the ability to design and implement scalable Machine Learning solutions.\r\nData Visualization Tools: Exposure to data visualization tools such as Tableau, Power BI, or D3.js, with the ability to effectively communicate complex data insights to stakeholders.\r\nIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.#J-18808-Ljbffr","datePosted":"2026-10-11T01:16:47.799Z","dateModified":"2026-10-11T01:16:47.799Z","hiringOrganization":{"@type":"Organization","name":"JobLeads","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"692df13fca428690f0a2b6e9"},"url":"https://jobsearcher.com/jobs/692df13fca428690f0a2b6e9"}}