AI DevOps/ AI/ML Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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
- Bachelors 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
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
