Deputy Vice President, AI/ML Engineering
SingPost Centre, Level 05, Singapore
SGD 180K-270K (estimate) Executive-level Full Time
Tasks
- Architect MLOps platform on GCP
- Build Vertex AI Pipelines
- Build feature engineering pipelines
- Conduct PDPA impact assessments
- Configure Apigee proxy policies for AI endpoints
- Configure Vertex AI Batch Prediction
- Configure Vertex AI Online Prediction
- Coordinate offshore distributed engineering pod
- Debug production pipeline failures
- Define AI Gateway integration standard
- Design RAG pipelines
- Enforce model governance
- Ensure PDPA compliance for AI ML data
- Evaluate AI tooling and foundation models
- Evaluate LLM outputs
- Frame AI ML problems
- Generate embeddings
- Implement model monitoring
- Line manage engineers
- Maintain audit logs
- Manage prompt templates
- Own AI use case backlog prioritization
- Own API contract with Apigee
- Recruit onboard AI ML engineers
- Report programme progress
- Set CI CD standard for ML artifacts
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | Apigee | Batch Prediction | BigQuery | CI/CD | Data Governance | Embeddings | FastAPI | Feature Store | Flask | GCP | Generative AI | Kubeflow SDK | LLM | ML CI/CD | MLOps | Model Monitoring | NumPy | Online and batch prediction | Online prediction | PDPA | Pandas | PyTorch | Python | RAG | Scikit-learn | TensorFlow | Vertex AI | Vertex AI Batch Prediction | Vertex AI Feature Store | Vertex AI Online Prediction | Vertex AI pipelines | XGBoost
Education
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