Python Unix machine learning Support Engineer

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- $110,000-$120,000 a year