Our customer that provides disrupting private healthcare services is looking for a senior full-stack scientist to join a senior team that develops novel digital services to optimize the access and cost efficiency of healthcare services. In the project you will be responsible for the design and development of ML models and solutions to automatically steer patients to the optimal care based on their symptoms and other data.
You will work with a solution architect and full-stack developers to integrate the ML engine you design and develop to the digital service. you will participate in designing the data pipelines and models and feedback channels to optimally support the ML solution, and analyse the performance of the ML solution based on the feedback data. You will also design and implement an Ops pipeline that enables the automatic updates of the ML model based on the new data.
To succeed in the role you have:
- Strong industrial experience in designing, developing and deploying ML solutions into production
- Good software engineering skills
- Experience and conceptual understanding on MLOps tools and processes
- Previous experience in the healthcare sector, knowledge about patient data and related regulation is a plus
- Good communication and team working skills