Senior Machine Learning Engineer, Compliance
Singapore, Singapore
SGD 106K-106K (estimate) Senior-level Full Time
Tasks
- Assess compliance relevant ML advances
- Assist SAR narrative generation
- Automate analytical pipelines
- Bridge research models to production
- Build internal ML tooling
- Collaborate with compliance and legal stakeholders
- Create evaluation frameworks
- Deploy ML models for compliance
- Design ML models for compliance use cases
- Detect model drift
- Document models for governance and regulatory review
- Ensure model explainability
- Implement experiment tracking
- Integrate LLM capabilities into workflows
- Maintain model registries
- Monitor model performance
- Own compliance ML feature pipelines
- Own model serving
- Review feature logic in pipelines
- Run model retraining workflows
- Summarize alerts with LLM
- Support investigative triage workflows
- Validate pipeline assumptions
Perks/Benefits
- Candidate Support Programs
- Company events
- Education subsidy
- Healthcare schemes
- L and D programs
- Meal allowances
- Team building programs
- Wellness allowance
Skills/Tech-stack
AML | Anomaly Detection | Automation workflows | Batch Data Processing | Batch data | Blockchain Analytics | CI/CD | Coding Tools | Data Pipelines | Data Processing | Databricks | Drift Detection | Evaluation Frameworks | Experiment tracking | Explainable AI | Feature Engineering | Financial Services | Fintech | Graph Neural Networks | Graph analytics | Hadoop | KYB | KYC | LIME | LLM Pipelines | LLM coding | LLM coding tools | MLOps | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Model Registry | Model Serving | Model auditability | Neural Networks | Python | Real Time | Real-time Data | Real-time Data Processing | Retraining Pipelines | SAR Analytics | SHAP | Sanctions screening | Spark | Supervised Learning | Transaction monitoring | Unsupervised Learning | VASP Compliance
Education
N/A
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