Artificial Intelligence Engineer II
Tasks
- Apply data security and access control best practices
- Build reproducible experiments and configuration driven workflows
- Collaborate with clinical and technical teams
- Conduct error analysis and model improvement
- Develop data processing pipelines
- Document model limitations assumptions and validation procedures
- Follow policies for handling PHI and sensitive data
- Implement and monitor inference workflows
- Implement machine learning and natural language processing models
- Implement validation checks logging and documentation
- Improve efficiency scalability and robustness of model execution
- Maintain structured datasets and features
- Perform exploratory data analysis
- Summarize methods results and risks
- Support model deployment in batch environments
- Support versioning of data and model artifacts
Perks/Benefits
- N/A
Skills/Tech-stack
Batch Processing | Benchmarking | Data Analysis | Data Validation | Data Versioning | Data logging | Data pipeline | Error Analysis | Exploratory Data Analysis | Feature extraction | Fine Tuning | Inference | Language Processing | Machine Learning | Model Deployment | Model Fine-tuning | Model Training | Natural Language | Natural Language Processing | PHI Compliance | Performance Monitoring | Python | Reproducible Research
Education
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