Your role:

• Experience in development, validation, packahing, deployment of AI models. Creating monitoring and feedback pipelines.
• Familiarity with DevOps, MLOps, Agile development practices, Goodl ML practices.
• Awareness of data privacy, Regulation, Management practices. Qualifications
• Proven record in building state of the art AI Engineering solution including productization, deployment and support.
• Building Proof of concept for a clinical domain problems example segmentation, clustering, prediction on imaging and numerical data
• Ability to explore a given technical problem and prepare a high quality research report with recommended technical solutions. Implementing an algorithms from research papers
• Keeping abreast with state of the art in machine learning, deep learning, image analytics