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Machine Learning Engineer
DentalMonitoringMachine Learning Engineer at DentalMonitoring developing and improving ML models for orthodontic treatment solutions. Engage in deep learning and computer vision tasks within a hybrid work environment.
Tech Stack
Tools & technologiesLinuxPyTorchTensorflow
About the role
Key responsibilities & impact- Develop and improve ML models to meet DentalMonitoring's needs
- Evaluate the performance and limitations of these models
- Deploy models to the production environment
- Implement a system to monitor the performance of deployed models
- Document research processes through reports
- Maintain existing products
- Stay up to date with technological developments to drive innovation
- Share best practices with the team
Requirements
What you’ll need- Minimum 4 years of experience in Machine Learning
- Experience in deep learning
- Comfortable working in a Linux environment
- Knowledge of machine learning frameworks (TensorFlow, PyTorch)
- Familiarity with development tools (CI/CD pipelines, Git, ...)
- Strong command of programming best practices (clean code)
- Strong knowledge of computer vision and image processing (OpenCV)
- Minimum CEFR level C1 in English and C1 in French
Benefits
Comp & perks- Swile lunch card
- Health insurance (Alan)
- Free share allocation plan (company stock grants)
- Hybrid work option
- Active employee committee (CSE) — multi-activity sports pass, club-employes.com
- Internal events
- Employee referral bonus
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningDeep LearningLinuxTensorFlowPyTorchCI/CD pipelinesGitClean CodeComputer VisionImage Processing
Soft Skills
DocumentationInnovationBest Practices