Description

•             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

Key Skills

Education

Bachelor's degree