Python Unix machine learning Support Engineer

Job Description 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. Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production use cases. Salary Range- $80,000-$90,000 a year Qualifications: BACHELOR OF COMPUTER SCIENCE