About this role
Lead design and validation of applied AI/ML solutions for complex health data and clinical ground truth, and build ML pipelines for data ingestion, feature engineering, training, and evaluation. Collaborate with clinical informaticists, data engineers, and production ML engineers, run experiments and benchmarks, and apply advances in foundation models and LLMs to biomedical and health data.
Skills for this role
Applied AIMachine LearningSupervised LearningUnsupervised LearningSelf-supervised LearningDeep Neural NetworksPyTorchTensorFlowPythonscikit-learnHuggingFace TransformerspandasNumPyNatural Language Processing (NLP)Multimodal ModelsLLM fine-tuningPrompt EngineeringExperiment TrackingMLflowW&BDVCModel VersioningReproducible ResearchAWS SageMakerGCP Vertex AIAzure MLMLOpsCI/CD for MLModel ObservabilityFederated Learning」「Privacy-preserving ML