AI Engineer - Autonomous Vulnerability Management System Project Overview Build a fully autonomous AI system that handles CVE remediation from Jira tickets to production deployment without human intervention. What You'll Build Complete automation pipeline: Parse Jira CVE tickets for due dates and requirements Auto-update Dockerfiles, Helm charts, dependencies (requirements.txt, go.mod, etc.) in GitLab Deploy to staging, validate against production logs for new errors Promote to production on success, rollback on failure Send human-like Slack messages throughout process Technical Requirements AI/ML: NLP for parsing, decision logic for deployments DevOps: GitLab API, Kubernetes/Helm, CI/CD automation Languages: Multi-language dependency management (Python, Go, Ruby, JS) Integrations: Jira, Slack, container registries Success Criteria 100% autonomous CVE remediation 95% deployment success with intelligent rollback Human-indistinguishable Slack communication Complete cycle within 4 hours Required Experience 5+ years AI/ML with automation applications DevOps and vulnerability management background Complex API integrations and NLP experience Deliverables Production-ready autonomous system Documentation and deployment guides Monitoring dashboard Submit proposal with portfolio of AI automation systems you've built.
Keyword: Product Manager
Price: $500.0
Machine Learning AI Agent Development AI Development API
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