{"schemaVersion":"jobsearcher.job.v1","id":"9a582dff14cd9a466e223b88","url":"https://jobsearcher.com/jobs/9a582dff14cd9a466e223b88","canonicalUrl":"https://jobsearcher.com/jobs/9a582dff14cd9a466e223b88","title":"Python Unix machine learning Support Engineer","description":"Job Title: Python Unix machine learning Support Engineer Location: Chandler, AZ (Onsite) Fulltime Must Have Technical/Functional Skills Unix, ShellScripting, Python, Machine learning, Production Support Roles & Responsibilities • System Configuration: Configuring Unix systems to meet specific requirements and standards. • Troubleshooting: Identifying and resolving issues with Unix systems and applications. • Scripting: Automating repetitive tasks using Python scripts. • Performance Optimization: Analyzing and improving the performance of Unix systems. • Documentation: Creating and maintaining system documentation and guides. • Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional. • Implement AI workflows using Python, agent frameworks, and orchestration tools • Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination • Integrate LLMs with enterprise systems and APIs • These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills can be leveraged to automate and streamline these tasks. • Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems. • Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.","company":"AceStack","rawCompany":"acestack","city":"Chandler","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-07-04T00:30:45.749Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"541519","title":"Other Computer Related Services","slug":"other-computer-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Unix machine learning Support Engineer","description":"Job Title: Python Unix machine learning Support Engineer Location: Chandler, AZ (Onsite) Fulltime Must Have Technical/Functional Skills Unix, ShellScripting, Python, Machine learning, Production Support Roles & Responsibilities • System Configuration: Configuring Unix systems to meet specific requirements and standards. • Troubleshooting: Identifying and resolving issues with Unix systems and applications. • Scripting: Automating repetitive tasks using Python scripts. • Performance Optimization: Analyzing and improving the performance of Unix systems. • Documentation: Creating and maintaining system documentation and guides. • Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional. • Implement AI workflows using Python, agent frameworks, and orchestration tools • Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination • Integrate LLMs with enterprise systems and APIs • These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills can be leveraged to automate and streamline these tasks. • Designed, developed, and deployed machine learning models using supervised and unsupervised learning techniques to solve real world business problems. • Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib. • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.","datePosted":"2026-07-04T00:30:45.749Z","dateModified":"2026-07-04T00:30:45.749Z","hiringOrganization":{"@type":"Organization","name":"AceStack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chandler","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9a582dff14cd9a466e223b88"},"url":"https://jobsearcher.com/jobs/9a582dff14cd9a466e223b88"}}