Python Unix machine learning Support Engineer

Tata Consultancy Services Ltd

Chandler, AZ

JOB DETAILS
SALARY
$110,000–$120,000 Per Year
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Docker, Documentation, GCP (Good Clinical Practices), Identify Issues, Machine Learning, Memory Hardware, Microsoft Windows Azure, Performance Analysis, Performance Management, Performance Tuning/Optimization, Problem Solving Skills, Production Support, Python Programming/Scripting Language, REST (Representational State Transfer), Scripting (Scripting Languages), Systems Maintenance, Team Player, Technical Support, Unix Operating Systems, Unix Shell Programming, Unix System Administration
LOCATION
Chandler, AZ
POSTED
30+ days ago

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

About the Company

T

Tata Consultancy Services Ltd