Build MLOps systems for digital health AI projects in person at the RI-MUHC in Montreal, using Python, cloud infrastructure, and CI/CD.

This Programmer supports CVIS/IDIGH within the Research Institute of the McGill University Health Centre, partnering with Polytechnique Montréal. The 2-to-5-year position focuses on reliable deployment for conversational AI applications, including pediatric health information and HIV-related projects. You will maintain pipelines, containers, monitoring, and AI/ML components.

Key Responsibilities:

- Establish and improve MLOps pipelines for conversational AI projects
- Develop CI/CD pipelines for testing and deployment workflows
- Manage cloud environments and application deployments
- Maintain containerized applications and services
- Monitor, troubleshoot, and document AI/ML systems

Requirements:

- Bachelor’s degree in computer science or related field
- Two to five years of work experience
- Experience with MLOps, CI/CD, and cloud infrastructure
- Experience with Docker and Python or scripting languages
- Advanced French and English communication skills

Apply MLOps, cloud deployment, and programming expertise to support multidisciplinary digital health research at the RI-MUHC.

📌 MLOps Programmer Digital Health AI (Canada)
🏢 RI-MUHC | Research Institute of the MUHC | #rimuhc
📍 Canada