{"schemaVersion":"jobsearcher.job.v1","id":"0b1b0ceca693e4a59e661f48","url":"https://jobsearcher.com/jobs/0b1b0ceca693e4a59e661f48","canonicalUrl":"https://jobsearcher.com/jobs/0b1b0ceca693e4a59e661f48","title":"Machine Learning Engineer","description":"*Job Overview*\n\nWe are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking team. In this role, you will be at the forefront of developing, implementing, and optimizing advanced machine learning models and AI solutions. Your expertise will drive data-driven decision-making, enhance predictive analytics, and support scalable AI applications across diverse platforms. This position offers an exciting opportunity to work with cutting-edge technologies in big data systems, cloud services, and natural language processing to shape the future of intelligent solutions.\n\n*Duties*\n\n* Design, develop, and deploy machine learning models utilizing frameworks such as TensorFlow and other AI tools to solve complex business problems.\n* Implement scalable data pipelines using ETL processes and big data systems like Hadoop and Spark to prepare data for analysis and model training.\n* Conduct statistical modeling and analysis to extract insights from large datasets, supporting research and strategic initiatives.\n* Collaborate with cross-functional teams to integrate AI models into production environments using cloud services such as AWS and machine learning cloud platforms.\n* Optimize model performance through rigorous evaluation, tuning, and validation techniques including model evaluation metrics and predictive modeling analysis.\n* Develop natural language processing applications to enhance text analysis capabilities within products or research projects.\n* Maintain comprehensive documentation of algorithms, processes, and system architecture while ensuring scalability and robustness of deployed models.\n\n*Skills*\n\n* Proficiency in programming languages such as Python, Java, C, R, and Bash (Unix shell) for data analysis, model development, and automation tasks.\n* Extensive experience with machine learning frameworks including TensorFlow, Spark implementation, and generative AI techniques.\n* Strong knowledge of big data technologies like Hadoop, Spark, Talend, and SQL databases for efficient data mining and analytics.\n* Expertise in statistical analysis tools such as SAS or R for research-driven insights and statistical modeling.\n* Hands-on experience with AI implementation in cloud environments like AWS or other machine learning cloud services for scalable deployment.\n* Familiarity with database design principles, SQL query optimization, and data analytics to support complex data workflows.\n* Understanding of natural language processing (NLP), AI models development, model training strategies, evaluation methods, and deployment best practices.\n* Knowledge of data integration tools such as Talend for efficient ETL workflows; experience with Looker for data visualization is a plus.\n* Ability to work on large-scale big data systems involving scalability challenges in real-time analytics environments.\n\nJoin us to leverage your expertise in machine learning/AI-based analysis to revolutionize how data transforms into actionable insights!\n\nPay: $192,000.00 - $229,000.00 per year\n\nBenefits:\n* 401(k)\n* Flexible spending account\n* Parental leave\n* Relocation assistance\n\nWork Location: In person","company":"Amazon Web Services","rawCompany":"amazon web services","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-09-02T11:12:47.439Z","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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-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","description":"*Job Overview*\n\nWe are seeking a dynamic and innovative Machine Learning Engineer to join our forward-thinking team. In this role, you will be at the forefront of developing, implementing, and optimizing advanced machine learning models and AI solutions. Your expertise will drive data-driven decision-making, enhance predictive analytics, and support scalable AI applications across diverse platforms. This position offers an exciting opportunity to work with cutting-edge technologies in big data systems, cloud services, and natural language processing to shape the future of intelligent solutions.\n\n*Duties*\n\n* Design, develop, and deploy machine learning models utilizing frameworks such as TensorFlow and other AI tools to solve complex business problems.\n* Implement scalable data pipelines using ETL processes and big data systems like Hadoop and Spark to prepare data for analysis and model training.\n* Conduct statistical modeling and analysis to extract insights from large datasets, supporting research and strategic initiatives.\n* Collaborate with cross-functional teams to integrate AI models into production environments using cloud services such as AWS and machine learning cloud platforms.\n* Optimize model performance through rigorous evaluation, tuning, and validation techniques including model evaluation metrics and predictive modeling analysis.\n* Develop natural language processing applications to enhance text analysis capabilities within products or research projects.\n* Maintain comprehensive documentation of algorithms, processes, and system architecture while ensuring scalability and robustness of deployed models.\n\n*Skills*\n\n* Proficiency in programming languages such as Python, Java, C, R, and Bash (Unix shell) for data analysis, model development, and automation tasks.\n* Extensive experience with machine learning frameworks including TensorFlow, Spark implementation, and generative AI techniques.\n* Strong knowledge of big data technologies like Hadoop, Spark, Talend, and SQL databases for efficient data mining and analytics.\n* Expertise in statistical analysis tools such as SAS or R for research-driven insights and statistical modeling.\n* Hands-on experience with AI implementation in cloud environments like AWS or other machine learning cloud services for scalable deployment.\n* Familiarity with database design principles, SQL query optimization, and data analytics to support complex data workflows.\n* Understanding of natural language processing (NLP), AI models development, model training strategies, evaluation methods, and deployment best practices.\n* Knowledge of data integration tools such as Talend for efficient ETL workflows; experience with Looker for data visualization is a plus.\n* Ability to work on large-scale big data systems involving scalability challenges in real-time analytics environments.\n\nJoin us to leverage your expertise in machine learning/AI-based analysis to revolutionize how data transforms into actionable insights!\n\nPay: $192,000.00 - $229,000.00 per year\n\nBenefits:\n* 401(k)\n* Flexible spending account\n* Parental leave\n* Relocation assistance\n\nWork Location: In person","datePosted":"2026-09-02T11:12:47.439Z","dateModified":"2026-09-02T11:12:47.439Z","hiringOrganization":{"@type":"Organization","name":"Amazon Web Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0b1b0ceca693e4a59e661f48"},"url":"https://jobsearcher.com/jobs/0b1b0ceca693e4a59e661f48"}}