Data Science & AI Lead
Tasks
- Advance agentic AI and LLM use cases
- Build scalable pipelines and reusable components
- Design build and deploy production models
- Develop AI agents and automated decisioning
- Ensure explainable traceable auditable models
- Establish MLOps standards
- Implement controls validation and safeguards
- Lead data science and AI lifecycle
- Monitor model performance and drift
- Provide technical leadership and team development
Perks/Benefits
Skills/Tech-stack
Agentic AI | Artificial Intelligence | Automation | Data Pipelines | Data Risk | Data Science | Data risk management | Explainable AI | LLM | Language Processing | MLOps | Machine Learning | Model Deployment | Model Governance | Model Monitoring | Model retraining | Model risk | Natural Language | Natural Language Processing | Risk Management | Scalable Architecture
Education
N/A
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