AI / ML Developer / Engineer
Tasks
- Apply prompt engineering techniques
- Automate data stewardship processes
- Collaborate with cross-functional teams
- Configure and fine-tune AI agents
- Configure reporting dashboards
- Design and automate governance workflows
- Document metadata and data lineage
- Integrate AI Agents with backend systems
- Integrate knowledge graph and vector database
- Participate in agile ceremonies
- Perform current state analysis
- Troubleshoot agent performance issues
- Troubleshoot data pipeline errors
- Troubleshoot workflow errors
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | AI agent orchestration | Agent Orchestration | Artifact Registry | Backup and Disaster Recovery | BigQuery | CI/CD | Cloud DNS | Cloud KMS | Cloud SQL | Cloud logging | Data Governance | Data Lineage | Data Quality | Data Stewardship | Disaster Recovery | Event Driven | Event-driven integration | GCloud CLI | GKE | GitHub | GitHub Actions | Google Filestore | Google Kubernetes | Google Kubernetes Engine | Google Secret Manager | Guidewire APIs | IAM | Kubernetes Engine | LLM | MDM | Milvus | Neo4j | Nginx | Okta | Prompt engineering | Python | RDM | REST APIs | Secret Manager | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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