AI DevOps/ AI/ML Engineer

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

AI DevOps/ AI/ML Engineer needs 7+ years of experience in DevSecOps, Site Reliability Engineering,

• LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases
• Agentic AI framework LangChain, LangGraph, CrewAI
• MCP
• RAG
• Python language proficiency is must.
• Deep understanding of cloud engineering as related AI, DevOps, Automation
• Strong troubleshooting and problem-solving abilities
• Excellent communication skills to work with both data scientists and operations teams
• Familiarity with agile development methodologies
• Knowledge of security best practices for AI systems
• Ability to balance technical requirements with business needs
• Iselin, NJ, Charlotte, NC
• Hands on knowledge of AI tools, Models, practical use case implementation
• Proficiency in at least one programming language commonly used in AI (Python, Java)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with CI/CD tools (Jenkins, GitHub, GitLab CI, Artifactory)
• Hands on experience with automated security vulnerability detection and remediation using security scanning tools in DAST/SAST/IAST scanning space
• Hands on experience building and deploying Agentic capabilities using AI Agentic tools, processes across the technology and business landscape
• Bachelor's degree in Computer Science, Engineering, or related field
• Hybrid
• Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory
• Automate testing frameworks using AI capabilities, including model validation tests
• Automated build, scans and deploy including vulnerability remediation capabilities