AI DevOps/ AI/ML Engineer
Global Channel Management, Incorporated
Charlotte, NC, United States
16 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Java (Programming Language)
Agile Methodology
Artificial Intelligence
Amazon Web Services
Automation of Tests
Microsoft Azure
Cloud Computing
Cloud Engineering
Continuous Integration
DevOps
Github
+32 more
Python (Programming Language)
Reliability Engineering
OpenAI
Tensorflow
Security Software
Software Engineering
SonarQube
Software Vulnerability Management
Google Cloud
Pytorch
LangChain
Retrieval-Augmented Generation
Large Language Models
Prompt Engineering
Model Validation
Software Troubleshooting
Agentic-AI
Gitlab
Gitlab-ci
Scikit Learn
Information Technology
Deployment Automation
CrewAI
Claude
Software Version Control
Devsecops
Jenkins
Static Application Security Testing
Vulnerability Analysis
Artifactory
Programming Languages
Dynamic Application Security Testing
Requirements
DevOps, Artificial Intelligence (AI), DevOps, Reliability Engineering, Artificial Intelligence (AI), Use Cases, MCP - Microsoft Certified Professional, Software Engineering, Cloud Computing, Automation, 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
- Bachelorβs 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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