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Python Unix machine learning Support Engineer
Q1 Technologies
- United States
- United States
About
Learn more about the general tasks related to this opportunity below, as well as required skills.
Python Unix machine learning Support Engineer 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. xywuqvp • Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases.
Languages
- English
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