Data Scientist & Ml Engineers

ResponsibilitiesWorking as part of our team researching and develop machine learning modelsArchitecting ML training, validation and inference pipelinesDesigning and implementing approaches to maximizing the potential of data in AI modelsDefining creative solutions to deep problems, and communicating your ideas to the teamRequirementsPhD or masters in a relevant field of studyStrong ML research and engineering utilizing established and emerging NLP technologies in a healthcare environmentData-centric AIDeep learning, problem solving and first principles understanding with proven applicationExperience with information extraction from unstructured and structured healthcare dataExperience with MLOpsDesirable:Experience with deep reinforcement learningExperience with knowledge graphs, knowledge bases and ontologiesExperience with probabilistic graphical modelsExperience with semantic search architecturesSome of the tools we are (and you will be) working with:PythonPytorchSPARQL, Gremlin, NoSQL and SQLDockerAWSKubeflow

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