Corporate Vice President, AI & Data Science
Tasks
- Define and evolve AI development standards
- Design and deploy production RAG systems
- Design and implement agentic AI systems
- Lead AI ML and GenAI initiatives end to end
- Lead AI stack technical decisions
- Monitor model performance and safety
- Own model development life cycle
- Prototype AI-powered applications
- Provide technical leadership and mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agentic AI | Bedrock | CI/CD | Code review | DBT | Data Exploration | Databricks | Feature Engineering | GCP | Generative AI | Git | Hallucination detection | Human-in-the-loop | Knowledge graphs | LLM | Langchain | Langgraph | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Multi-Agent | Multi-agent orchestration | Prompt engineering | Python | RAG | React | Red Teaming | Retrieval-Augmented Generation | SQL | Safety testing | SageMaker | Streamlit | Testing | The Loop | Vector Databases | Version control | Vertex AI
Education
Regions
Countries
States
Cities
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