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