Comprehensive Rehab Consultants
Tasks
- Build LLM evaluation retraining and RAG pipelines
- Build clinical embeddings using Transformers spaCy
- Build maintainable ML pipelines with MLflow CI CD
- Build tune validate statistical models
- Deploy ML workloads using Databricks and Azure ML
- Develop AI analytics chatbot with grounded QA
- Document methodologies assumptions architecture and validation
- Engineer features from healthcare data
- Implement model monitoring, drift detection, and retraining
- Integrate ML models into production services
- Train and maintain private LLM on internal documents
- Tune NLP engine for clinical note understanding
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Machine Learning | CI/CD | Databricks | Drift Detection | Fabric | Feature Engineering | GitHub Actions | LLM | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Training | Model Validation | NLP | Pandas | PyTorch | Python | RAG | SQL | Scikit-learn | Spacy | StatsModels | TensorFlow | Transformers | Vector embeddings
Education
N/A
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