Machine Learning Engineer responsible for implementing and maintaining data science models in bpx’s machine learning studio. Bridging data science and computational needs to achieve business outcomes.
About the role
- Machine Learning Engineer at DentalMonitoring developing AI solutions for orthodontics. Responsibilities include model development, evaluation, deployment, and performance monitoring.
Responsibilities
- 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
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!
Job title
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