Corporate Vice President - Data Science Lead
Tasks
- Apply model governance and documentation
- Build UI prototypes with Streamlit
- Define AI initiative OKRs
- Deliver full model development life cycle
- Design and evaluate agentic AI solutions
- Implement LLM/RAG approaches
- Integrate AI capabilities through APIs and dashboards
- Lead AI/ML and GenAI initiatives
- Mentor and hire data scientists and interns
- Operationalize AI GenAI and agentic business workflows
- Support production deployment with MLOps
- Train validate deploy monitor ML models
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Amazon Bedrock | Amazon SageMaker | CI/CD | Cross-validation | Databricks | Deep learning | Embeddings | Feature Engineering | GCP | Generative AI | Git | GitHub | Gradient boosting | Language Models | Large Language Models | MLOps | Machine Learning | Model Governance | Prompt engineering | Prompt orchestration) | Python | RAG | Regularization | Retrieval optimization | SQL | Snowflake | Streamlit | Supervised Learning | Unsupervised Learning | Vector Databases | Vertex AI
Education
Regions
Countries
States
Cities
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