MCG's data science team combines machine learning with expert knowledge to increase the efficiency and accuracy of documentation workflows for healthcare providers.
Requirements
- Expert level Python: able to write reliable, extensible code
- Demonstrated experience translating high level requirements into models in production
- Deep experience with Natural Language Processing (NLP)
- Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks
- Experience using pretrained LLM’s for zero or few-shot learning tasks
- Experience generating visualizations for evaluation of complex systems
- Scientific mindset and ability to run experiments to guide model selection and hyperparameter search
Responsibilities
- Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve
- Lead and establish best practices for various research activities including data collection/annotation, literature research, experimentation, and evaluation
- Provide technical and project leadership for other Data Scientists
- Create and test novel LLM based systems
- Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques
Other
- 8 years of experience in Data Science or Machine Learning Engineering
- Good written communication skills
- Experience putting LLM based services into production
- Experience working with clinical data
- Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)
