Lead AI Insights Engineer
Tasks
- Analyze AI product performance
- Apply NLP to unstructured clinical data
- Build data pipelines
- Collaborate with clinical teams to drive outcomes
- Communicate AI value to stakeholders
- Create production AI products
- Leverage LLM tools for disease identification
- Monitor model performance
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Amazon Bedrock | Amazon Web Services | Claims data | DBT | Data Pipelines | Data Visualization | FHIR | Healthcare Claims | Healthcare Claims Data | Laboratory data | Language Models | Language Processing | Large Language Models | Machine Learning | Medicare | Natural Language | Natural Language Processing | Pharmacy data | Python | SQL | Sigma | Snowflake | Value-Based Care | Value-based | Web Services
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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