AI/ML Data Engineer
Tasks
- Collaborate with vendors and internal teams
- Develop and operate data pipelines
- Ensure MLOps AIOps practices
- Implement SOC and ITSM tool integrations
- Implement automation and orchestration workflows
- Implement governance, security, and compliance
- Ingest normalize and enrich security events
- Mitigate AI usage risks
- Monitor model performance and drift detection
- Optimize incident prioritization
- Perform risk and ROI analysis
- Support incident lifecycle triage investigation response
Perks/Benefits
Skills/Tech-stack
AIOps | Access Control | Automation | Data Pipelines | EDR | Event Processing | Git | ITSM integration | LDAP | Log Event Processing | Logging | MLOps | Observability | Orchestration | PostgreSQL | PyTorch | Python | SAML | SIEM | SOAR | SOAR playbooks | SQL | SSO | Security event processing | SoC integration | TensorFlow | Version control
Education
N/A
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