Senior AI DevOps & ML Engineer (Agentic AI)

Globalchannelmanagement; Charlotte (NC); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A prominent tech company is looking for an AI DevOps/AI/ML Engineer based in Charlotte, NC. The ideal candidate should have over 7 years of experience in DevSecOps and Site Reliability Engineering, with strong proficiency in Python and cloud platforms like AWS and Azure. Responsibilities include implementing version control for modules and automating testing frameworks. A Bachelor's degree in Computer Science or related field is required. This hybrid role offers the chance to work on cutting-edge AI tools and technologies.

Qualifications

• 7+ years of experience in DevSecOps and Site Reliability Engineering.
• Strong proficiency in Python is a must.
• Deep understanding of cloud engineering specific to AI.

Responsibilities

• Implement version control for code, data, and models using GitLab.
• Automate testing frameworks utilizing AI capabilities.
• Build and deploy Agentic capabilities leveraging AI tools.

Skills

DevSecOps

Site Reliability Engineering

Python

Cloud engineering

Troubleshooting skills

Agile methodologies

AI tools and Models

CI/CD tools

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

GCP

TensorFlow

PyTorch

GitLab

Jenkins

SonarQube

Artifactory

Job description

A prominent tech company is looking for an AI DevOps/AI/ML Engineer based in Charlotte, NC. The ideal candidate should have over 7 years of experience in DevSecOps and Site Reliability Engineering, with strong proficiency in Python and cloud platforms like AWS and Azure. Responsibilities include implementing version control for modules and automating testing frameworks. A Bachelor's degree in Computer Science or related field is required. This hybrid role offers the chance to work on cutting-edge AI tools and technologies.