Manager, Applied AI, Advanced Informatics
Tasks
- Build ML pipelines for ingestion feature engineering training and evaluation
- Communicate model behavior limitations and performance
- Conduct experiments benchmarking and ablation studies
- Design applied AI solutions for health informatics
- Evaluate models against clinical ground truth
- Explore data and frame success criteria
- Fine tune and prompt engineer NLP and multimodal models
- Formulate ML problems for complex health data
- Integrate models into informatics workflows with engineers
- Track experiments and manage model versioning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Azure Machine Learning | CI/CD | DVC | Deep learning | Experiment tracking | Fine Tuning | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | HuggingFace Transformers | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Observability | Model versioning | Multimodal Models | Natural Language | Natural Language Processing | Neural Networks | NumPy | Pandas | Prompt engineering | PyTorch | Python | Scikit-learn | Self-Supervised Learning | Self-supervised | Supervised Learning | TensorFlow | Unsupervised Learning | Vertex AI | Weights and Biases
Education
Roles
AI | AI Manager | AI Research Manager | Applied AI Manager | Manager | Research Manager
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