Python developer

Must Have Technical/Functional Skills

Unix, Shell Scripting, Python, Machine learning development & 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 / Google Cloud Platform) to support production

use cases.