ML Engineer

Role Overview

• Develop and improve predictive models meeting Dental Monitoring's needs
• Evaluate the performance and limitations of these models
• Deploy these models in our production environment
• Implement a system to monitor the performance of deployed models.
• Document the research process via research reports.
• Maintain existing products
• Monitor technological advancements to innovate
• Share best practices and your experiences with the team

Requirements

• You have a scientific background such as a Master's, Doctorate or Engineering degree or equivalent training
• You have initial experience in deep learning
• You are fully operational on a Linux environment, with Python and Tensorflow, Keras or PyTorch
• You have very good knowledge of conventional image processing (Computer Vision), such as OpenCV
• You are autonomous, adaptable and driven by a desire to learn
• You are comfortable with teamwork and receptive to feedback
• You have a critical mind regarding results
• You are looking for a scale-up / start-up environment where you can be versatile and take initiatives
• You have a minimum B2 level in English
• Even better if you have experience in the medical field or even dentistry
• You have knowledge of
• Good programming practices (clean code)
• CI/CD pipelines and Git

Tech Stack

• Keras
• Linux
• Python
• PyTorch
• Tensorflow

Benefits

• Your ideas will be heard and considered.
• Feedback is part of our practices and taking initiatives is encouraged and supported
• The teams will do their best to help you in the development of your projects. We all have something to learn!