Executive, Data Science (LLM & Agentic AI)
Tasks
- Apply NLP to analyze healthcare datasets and build clinical decision support
- Build model monitoring and explainability frameworks
- Design develop and maintain automated data pipelines and RAG pipelines
- Develop deploy LLM applications and agentic AI systems
- Develop prompt engineering workflows
- Ensure data governance compliance and regulatory security controls
- Implement multi-agent orchestration frameworks
- Integrate AI solutions with clinical platforms and data infrastructure
- Lead research design and deployment of LLM powered and agentic AI solutions
- Monitor data quality and prepare reports dashboards and visualizations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agent systems | Agentic AI | Anonymization | CI/CD | Data Pipelines | Data Quality | DevSecOps | Explainable AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Multi-agent orchestration | Natural Language | Natural Language Processing | Prompt engineering | Python | R | Retrieval-Augmented Generation | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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