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AI Devops Engineer
$85 - $85 / hour
Posted 30+ days ago
Devops Engineer Senior
Posted 1 day ago
Devops Security
Posted 30+ days ago

Devops Solutions Engineer
$135,000 - $155,000 / year
Posted 30+ days ago
Data Devops Engineer
Posted 30+ days ago
Senior Devops Engineer / Build & Release Engineer - Project - OR
$70 - $85 / hour
Posted 30+ days ago
Azure Devops Engineer
Posted 1 week ago
Devops Engineer
$50 - $50 / hour
Posted 30+ days ago

Junior Java Devops Developer/Data Analyst
$82,000 - $127,000 / year
Posted 5 days ago

Devops Engineer
$40 - $57 / hour
Posted 30+ days ago
Cleared Senior Systems Engineer (Devops)
Posted 2 weeks ago

Devops Engineer-Iv (Expert-Level)
Posted 30+ days ago

AI Devops Engineer
$125,000 - $175,000 / year
Posted 2 days ago
Mobile Devops Engineer
$42 - $45 / hour
Posted 1 week ago
Devops Engineer With Suse Experience
Posted 3 days ago
Devops Engineer
Posted 1 day ago

AWS DevOps Engineer (Senior)
Posted 30+ days ago

DevOps Engineer
$200,000 - $230,000 / year
Posted 30+ days ago

Sr. Software Engineer, DevOps
$180,000 - $220,000 / year
Posted 30+ days ago

Senior DevOps Engineer
$155,000 - $182,000 / year
Posted 3 days ago
AI Devops Engineer
$85 - $85 / hour
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Overview
Job Description
Title: AI DevOps Engineer (Hybrid) Location: Iselin, NJ or Charlotte, NC | Pay: 85/hr Job Description An AI DevOps Engineer bridges the gap between artificial intelligence development and operations, ensuring that AI models and systems are deployed efficiently, monitored effectively, and maintained reliably in production environments. Key Responsibilities AI/ML Engineer 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 Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field 7+ years of experience in DevSecOps, Site Reliability Engineering, 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 Skills 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
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