Lead machine learning engineer developing solutions for Army enterprise AI and ML team. Collaborating with experts to deliver cutting - edge analytics and models for real - world challenges.
About the role
- Machine 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.
Responsibilities
- 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
- 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
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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