Director, AI Platform and Development Engineering
Tasks
- Build RAG workflows
- Conduct process mining and workflow bottleneck analysis
- Consolidate ERP and core business data
- Define unified schema standards
- Deploy dashboards and KPI reporting
- Design and build centralized data lake
- Develop data pipelines (ETL/ELT)
- Enable natural language querying
- Implement RPA solutions
- Implement data cleansing and normalization
- Implement data governance and auditability
- Implement embeddings and vector search
- Implement prompt and evaluation workflows
- Lead AI platform architecture
- Manage role-based access control
- Monitor model performance and evaluations
- Optimize inference cost and latency
- Provide technical direction to engineering teams
- Serve models in production
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Access Control | Audit Logs | Azure | Containerization | Cost Optimization | Dashboards | Data Governance | Data Lake | Data Modeling | Data Pipelines | Data Quality | Database Indexing | ELT | ETL | Embeddings | Evaluation | GPU Computing | Google Cloud | JSON | LLMs | Language Processing | MLOps | Machine Learning | Model Serving | Monitoring | Natural Language | Natural Language Processing | Observability | Orchestration | PGVector | Process mining | Prompt engineering | Python | RAG | RPA | Role-Based Access | Role-Based Access Control | SQL | Vector Database | Vector Databases | Vector Search | Vector database indexing
Education
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