AI Requirements Engineer
USD 87K-130K (estimate) Mid-level Full Time
Tasks
- Coordinate UAT performance monitoring and iterative improvements
- Coordinate sprint planning execution testing and production deployment
- Develop SOPs for retraining rollback and root cause analysis
- Document incident response procedures for model failures and anomalies
- Elicit document and validate functional and technical requirements
- Lead AI solution requirements definition and delivery
- Maintain product backlog user stories and acceptance criteria
- Manage operations maintenance and release cycles for secure scalable systems
- Oversee AI workflows UI UX improvements and data integrations
- Translate business needs into actionable requirements
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Acceptance criteria | Agile | Artificial Intelligence | Automation | Azure | Backlog Management | Cause analysis | Cloud Computing | Data analytics | Data integration | Incident Response | Performance Monitoring | Requirements Engineering | Root Cause Analysis | Root cause | SDLC | Security Compliance | UAT | UI/UX | User stories
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Requirements Engineer | Engineer | Requirements Engineer
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