Senior Machine Learning Engineer, Platform
Tasks
- Build clinical NLP extraction pipelines
- Collaborate with clinical data managers on QA QC
- Define accurate enough evaluation
- Develop evaluation harness and monitoring
- Manage deidentification and PHI handling
- Own extraction model lifecycle
- Use LLMs for structured extraction
- Version prompts and run real evaluations
Perks/Benefits
Skills/Tech-stack
Annotation strategy | Deidentification | Entity recognition | Error Analysis | FHIR | Fine Tuning | HIPAA | Information Extraction | Inter-annotator agreement | Language Processing | Machine Learning | Model Evaluation | Model Monitoring | Named Entity Recognition | Natural Language | Natural Language Processing | OCR | Prompt engineering | Python | Retrieval-Augmented Generation | SOC 2 | Sequence labeling | Structured Output | Text Classification | Weak Supervision
Education
N/A
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