AI DevOps/ AI/ML Engineer
GlobalchannelmanagementCharlotte, North Carolina, United States
Posted December 12, 2025
Full Time
About the Company
Global Channel Management is a technology‑driven staffing firm that delivers end‑to‑end recruiting, staff augmentation, and service‑management solutions for diverse industries. Leveraging a team of seasoned account managers and recruiters with more than a decade of experience, the company helps clients reduce training and labor costs while securing top talent to meet fluctuating skill requirements. Its service‑management model focuses on identifying expertise gaps, adapting to changing staffing needs, and delivering customized solutions within specified timelines. By combining employment, sourcing, consulting, and project‑management expertise across software, hardware, and technology domains, Global Channel Management uniquely aligns talent acquisition with operational efficiency and cost optimization.
Job Description
AI DevOps/ AI/ML Engineer needs 7+ years of experience in DevSecOps, Site Reliability Engineering, AI, and ML. Responsibilities include implementing version control, automating testing frameworks, and designing deployment strategies using AI capabilities.
Requirements
- 7+ years of experience in DevSecOps, Site Reliability Engineering, AI, and ML
- 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
- Deep understanding of cloud engineering as related to 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
- 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