Machine Learning Engineer

Join Clarius Mobile Health as a Machine Learning Engineer and contribute to a groundbreaking project aimed at expanding access to ultrasound technology. In this role, you will develop, train, and deploy machine learning models, improve and maintain ML tools, and collaborate with researchers and software engineers. This is a two-year fixed-term position with a strong likelihood of extension. Enjoy competitive benefits, a flexible work environment, and the opportunity to make a significant impact in the field of medical imaging.

Missions

• Contribuer au développement, à l'entraînement et au déploiement de modèles d'apprentissage automatique dans des environnements de recherche et de production.
• Améliorer et maintenir les outils d'apprentissage automatique, en garantissant leur robustesse et leur évolutivité.
• Collaborer avec des chercheurs et des ingénieurs logiciels pour transférer la recherche en apprentissage automatique dans des applications pratiques.

Profil recherché

- Deep expertise in deep learning and computer vision

- Proficiency in TensorFlow and PyTorch

- Ability to communicate ML concepts to technical audiences

- Software engineering best practices (version control, testing, code quality)

- Bachelor's or Master's degree in Computer Science, Machine Learning, or equivalent field

- Mastery in Python development with Unix/Linux

- Initiative to address technical challenges and drive innovation

- Strong problem-solving skills and ability to tackle complex ML engineering challenges

- Collaborative mindset, thriving in cross-functional teams

- Commitment to continuous improvement and learning

- Building scalable web applications and ML tools

- C++ and Javascript development

- Model optimization and inference speed tuning

- Cloud platforms and deployment (Docker, Kubernetes, AWS, GCP)