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!
Senior Machine Learning Engineer at Disney designing machine learning models for self - healing infrastructure. Collaborating with cross - functional teams to enhance enterprise technology strategies.
Machine Learning Engineer at Capital One responsible for productionizing ML applications in Agile teams. Focused on ML architectural design, coding, and maintaining high availability of models.
Lead Machine Learning Engineer at Capital One focused on machine learning applications and systems. Collaborate with Agile teams to develop scalable solutions for business problems.
Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
Senior Machine Learning Engineer developing and deploying machine learning models for autonomous trucks. Collaborating with various teams to enhance safe and efficient decision - making in freight environments.
Senior Machine Learning Engineer focused on Machine Learning Ops for Autodesk software products. Building production infrastructures, ensuring AI - powered experiences, and collaborating with cross - functional teams.
AI Engineer at PayPal designing, building, and deploying autonomous AI systems powered by LLMs. Collaborating across teams on AI engineering, distributed systems, and product development.
Machine Learning Engineer designing and deploying advanced training capabilities to support U.S. Navy operational readiness. Collaborate on machine - learning models to enhance combat system training environments.
Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.