AI DevOps/ AI/ML Engineer

Global Channel Management

About the job AI DevOps/ AI/ML Engineer

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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Vacancy posted 4 days ago

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