Applied AI Lead - Risk
Tasks
- Build data pipelines for AI workflows
- Collaborate with risk IT data and engineering teams
- Continuously improve AI delivery processes and tools
- Design develop and deploy AI product features
- Develop AI application roadmap
- Drive AI governance and experimentation
- Ensure scalability reliability and monitoring
- Evaluate emerging AI technologies
- Identify high-value AI use cases
- Implement responsible ai best practices
- Lead and coach AI solutions delivery
- Monitor model performance and retrain
- Translate AI concepts for non-technical stakeholders
- Translate machine learning models into production
Perks/Benefits
- N/A
Skills/Tech-stack
Credit Risk | Data Pipelines | Deep learning | Experimentation | Language Processing | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model retraining | Natural Language | Natural Language Processing | PyTorch | Python | Responsible AI | SQL | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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