Lead AI Developer
Tasks
- Align stakeholders across product engineering security compliance
- Build data quality and lineage workflows
- Define data architecture and validation frameworks
- Design deployment and monitoring processes
- Design prompting retrieval pipelines and guardrails
- Drive evaluation with back testing and acceptance thresholds
- Establish AI governance and model risk controls
- Implement continuous improvement for AI solutions
- Lead end-to-end AI lifecycle
- Manage model cards and safety critical use cases
- Own problem framing and model development
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Backtesting | Cybersecurity | Data Architecture | Data Governance | Data Lineage | Data Privacy | Data Quality | Evaluation | Feature Store | Imputation | LLM | Machine Learning | Model Deployment | Model Risk Management | Model risk | Monitoring | Prompt engineering | RAG | Retrieval-Augmented Generation | Risk Management
Education
N/A
Roles
AI | AI Architect | AI Product Lead | Architect | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Product Lead
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