Negotiable
Undetermined
Remote
Remote
Summary: The Lead AI/ML Engineer is responsible for overseeing platform operations with an emphasis on reliability and user enablement. This role includes managing support ticket processes, maintaining knowledge bases, and ensuring service health monitoring. The engineer will also coordinate change control and report on service performance metrics. Collaboration with application and AI teams is essential for effective support handoffs.
Key Responsibilities:
- Oversee day-to-day platform operations with a focus on reliability, responsiveness, and user enablement
- Manage support ticket routing, escalation paths, and service queues
- Maintain knowledge base, including FAQs, documentation, and community support channels
- Coordinate change control, maintenance windows, and platform uptime
- Ensure observability and service health monitoring through dashboards and alerts
- Track key support metrics and regularly report on service performance
- Work closely with application and AI teams to coordinate support handoffs
Key Skills:
- Artificial Intelligence
- Change Control
- Generative Artificial Intelligence (AI)
- Issue Tracking
- Communication
- Dashboard
- Documentation
- Durable Skills
- FOCUS
- JIRA
- Knowledge Base
- Machine Learning (ML)
- Management
- Microsoft Windows
- Reporting
- Routing
- ServiceNow
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Lead AI/ML Engineer
Introduction:
The Lead AI/ML Engineer will play a crucial role in overseeing day-to-day platform operations, focusing on reliability, responsiveness, and user enablement. They will be responsible for managing support ticket routing, escalation paths, maintaining knowledge bases, coordinating change control, and ensuring observability and service health monitoring.
Responsibilities:
- Oversee day-to-day platform operations with a focus on reliability, responsiveness, and user enablement
- Manage support ticket routing, escalation paths, and service queues
- Maintain knowledge base, including FAQs, documentation, and community support channels
- Coordinate change control, maintenance windows, and platform uptime
- Ensure observability and service health monitoring through dashboards and alerts
- Track key support metrics and regularly report on service performance
- Work closely with application and AI teams to coordinate support handoffs
Requirements:
Required Skills:
- Artificial Intelligence
- Change Control
- Generative Artificial Intelligence (AI)
- Issue Tracking
- Communication
- Dashboard
- Documentation
- Durable Skills
- FOCUS
- JIRA
- Knowledge Base
- Machine Learning (ML)
- Management
- Microsoft Windows
- Reporting
- Routing
- ServiceNow