Sr. Systems Engineer - AI
Tasks
- Automate and standardize platform operations
- Build and maintain automated delivery pipelines
- Define track service health performance and data quality metrics
- Deploy AI ML solutions to enterprise production environments
- Ensure AI services follow security compliance and data protection standards
- Ensure AI services meet deployment configuration and change management standards
- Implement SRE practices for high availability fault tolerance and scaling
- Implement corrective and preventative actions
- Implement monitoring, logging, and alerting
- Integrate AI services into enterprise application and infrastructure ecosystems
- Maintain runbooks and support procedures
- Manage operational lifecycle including versioning and controlled releases
- Operate AI enabled platforms for availability reliability and performance
- Optimize platform performance resource utilization and cost
- Partner with service desk for support readiness and knowledge transfer
- Perform incident triage and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
AI/ML | Alerting | Auto Scaling | Automation | Backup Technologies | CI/CD | Capacity Planning | Cause analysis | Cloud Computing | Cost Optimization | Dashboards | Data Protection | Failover | Fault Tolerance | High Availability | Hybrid Cloud | Incident Management | Inference services | Infrastructure as Code | Learning operations | Logging | MLOps | Machine Learning | Machine Learning Operations | Model Monitoring | Monitoring | Performance Tuning | Redundancy | Reliability Engineering | Resource utilization | Root Cause Analysis | Root cause | Runbooks | SRE | Scripting | Security Compliance | Site Reliability | Site Reliability Engineering | “as-code”
Education
N/A
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