Specialist, Gen AI Solutions
Tasks
- Build and validate machine learning models
- Conduct feasibility assessments
- Coordinate model issue remediation
- Define model performance and validation metrics
- Design analytics and ML solutions
- Design monitoring dashboards
- Develop model blueprints
- Embed models into controls and decision systems
- Ensure model explainability and auditability
- Ensure model governance compliance
- Escalate material issues
- Identify high impact AI ML use cases
- Implement data privacy and governance controls
- Implement models using data pipelines
- Integrate models into business workflows
- Log incidents and track actions
- Perform data preprocessing and feature engineering
- Perform incident root cause analysis
- Present insights to stakeholders
- Provide training on model use and limitations
- Source and assess datasets
- Support model validation audit and regulatory reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AML | Anomaly Detection | CI/CD | Classification | Clustering | Credit Risk | Credit risk modeling | Data Governance | Data Lineage | Data Privacy | Data Quality | Deep learning | Feature Engineering | Forecasting | Fraud Detection | Language Processing | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Validation | Model versioning | Natural Language | Natural Language Processing | PySpark | Python | R | Regression | Risk Modeling | SQL | Sanctions screening | Spark | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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