Applied AI Scientist III
Tasks
- Build dashboards and KPI reporting
- Collaborate with cross-functional stakeholders
- Conduct data cleansing and feature engineering
- Define ML and LLM evaluation strategies
- Develop NLP and generative AI solutions
- Develop predictive models and algorithms
- Ensure HIPAA compliance and PHI handling
- Evaluate LLM and NLP technologies
- Lead prototype to production development
- Monitor model performance and safety
- Process and analyze unstructured healthcare data
- Tune generative AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | API Development | AWS | Azure | Bias detection | CI/CD | Claims data | Data Analysis | Data Governance | Data Visualization | Databricks | EMR | Entity recognition | Experiment tracking | Exploratory Data Analysis | Feature Engineering | GCP | Generative AI | Healthcare Data | LLMOps | Language Models | Language Processing | Large Language Models | Learning evaluation | Linear Regression | MLOps | Machine Learning | Machine learning evaluation | Markov Chains | Model Monitoring | Model Registry | Named Entity Recognition | Natural Language | Natural Language Processing | Nonlinear regression | Optical character recognition | Prompt engineering | Python | R | Responsible AI | Retrieval-Augmented Generation | SQL | Sentiment Analysis | Snowflake | Text Classification | Topic Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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