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Open nowFirst seen 42 hours ago

AI DevOps/ AI/ML Engineer

Globalchannelmanagement685 open roles

Where
Charlotte, NC, USA
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Your applicationOpen nowAI DevOps/ AI/ML EngineerGlobalchannelmanagement · Charlotte, NC, USA

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Globalchannelmanagement's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 42 hours ago

The posting

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

AI DevOps/ AI/ML Engineer requires:

  • LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases
  • Agentic AI framework LangChain, LangGraph, CrewAI
  • Context Engineering
  • MCP
  • Vector databases
  • 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

AI DevOps/ AI/ML Engineer duties:

  • Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory
  • Automate testing frameworks using AI capabilities, including model validation tests
  • Design blue/green deployment strategies using AI capabilities
  • Automated build, scans and deploy including vulnerability remediation capabilities
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