Lead AI Developer
Tasks
- Align cross functional teams for adoption
- Coordinate platform standards and platform roadmap
- Define problem framing and data architecture
- Deploy and monitor AI solutions
- Design retrieval pipelines and evaluation frameworks
- Drive backtesting and interpretability evaluations
- Establish AI governance and model risk controls
- Lead end-to-end AI lifecycle
- Manage data quality and lineage
- Own model development and validation
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Backtesting | Cloud Computing | Cybersecurity | Data Architecture | Data Governance | Data Lineage | Data Privacy | Data Quality | Evaluation | Feature Store | Language Models | Large Language Models | Machine Learning | Model Risk Management | Model Validation | Model risk | Monitoring | Prompt engineering | Python | Retrieval-Augmented Generation | Risk Management | SQL | Secure deployment
Education
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Manager | Product Manager | Technical Product Manager
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