Data Scientist & ML Engineers

Responsibilities

• Working as part of our team researching and develop machine learning models
• Architecting ML training, validation and inference pipelines
• Designing and implementing approaches to maximizing the potential of data in AI models
• Defining creative solutions to deep problems, and communicating your ideas to the team

Requirements

• PhD or masters in a relevant field of study
• Strong ML research and engineering utilizing established and emerging NLP technologies in a healthcare environment
• Data-centric AI
• Deep learning, problem solving and first principles understanding with proven application
• Experience with information extraction from unstructured and structured healthcare data
• Experience with MLOps

Desirable:

• Experience with deep reinforcement learning
• Experience with knowledge graphs, knowledge bases and ontologies
• Experience with probabilistic graphical models
• Experience with semantic search architectures

Some of the tools we are (and you will be) working with:

• Python
• Pytorch
• SPARQL, Gremlin, NoSQL and SQL
• Docker
• AWS
• Kubeflow