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Added 48 mins ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 1 hour ago
Q
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- Full-time
Understanding of software architecture, design principles, development practices, and design patterns.
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- Full-time
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Closed listing

RI-MUHC | Research Institute of the MUHC | #rimuhc

Programmer

Montreal, QC, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Full-time
Closing date: Nov 7, 2026
Experience: Work Experience: 2-5 years
Posting language: English
Posted: Oct 9, 2026

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Original job description

Archived listing. The details below describe a past opening.

Do you want to work for a world-renowned research institute that pushes the boundaries of biomedical science and health research? Right here in Montreal! At the Research Institute of the McGill University Health Centre (RI-MUHC), you can be part of an organization focused on scientific discovery and innovation in patient-centered medicine. Join us today and make a difference!

Job Description

RESEARCH INSTITUTE OF THE MUHC

The Research Institute of the McGill University Health Centre (RI-MUHC) is a world-renowned biomedical and hospital research centre. Located in Montreal, Quebec, the Institute is the research arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé (FRQS).

Position Summary

Department / Research Program: CVIS/IDIGH (MLOps & AI Development)

Our team at the Research Institute of the McGill University Health Centre (RI-MUHC), in partnership with Polytechnique Montréal, is seeking a Programmer to join our multidisciplinary team. Our digital health projects include conversational AI applications supporting pediatric health information, HIV self-management, and HIV prevention and access to care. The position will primarily focus on MLOps, including CI/CD and model deployment pipelines, cloud infrastructure, containerized environments, and system monitoring. The successful candidate will also contribute, when needed, to the development, integration, and evaluation of AI and machine-learning components.

General Duties

Establish, maintain, and improve MLOps pipelines for conversational AI and related digital health projects.
Develop and maintain CI/CD pipelines to support reliable development, testing, and deployment workflows.
Manage cloud-based development and deployment environments and support application deployment across research and production environments.
Develop and maintain containerized applications and services.
Implement monitoring, logging, troubleshooting, and system maintenance processes to support application and AI/ML system reliability and performance.
Support infrastructure configuration, version control, release management, and deployment automation.
Work with project developers to standardize development, testing, and deployment practices across projects.
Support secure and scalable deployment of AI-enabled digital health applications.
Contribute to the integration, deployment, monitoring, and lifecycle management of large language models and other AI/ML components.
Contribute, when needed, to model development, evaluation, and optimization.
Maintain technical documentation to support system sustainability, reproducibility, and knowledge transfer.
Collaborate with researchers, clinicians, and engineers across multidisciplinary digital health projects.

Website of the organization

https://rimuhc.ca/en

Education / Experience

Education: Bachelor's Degree

Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience

Work Experience: 2-5 years

Required Skills

This position requires an advanced knowledge of oral and written French.
An advanced knowledge of oral and written English is required, as the position requires regular and complex contact with patients, researchers or international students who are exclusively proficient in English. The position also requires complex writing or in-depth analysis of documents in English related to a research project.
Experience with MLOps practices, CI/CD pipelines, and automated application and/or model deployment workflows.
Experience with cloud-based infrastructure and application deployment (Amazon Web Services, Google Cloud Platform, Azure, etc.).
Experience with containerization technologies such as Docker.
Proficiency in Python and/or other relevant programming or scripting languages.
Familiarity with Infrastructure as Code, deployment automation, monitoring, and logging is an asset.
Experience deploying, integrating, or maintaining AI/ML applications or large language models is an asset.
Familiarity with machine learning and natural language processing frameworks, model serving, model versioning, experiment tracking, or inference optimization is an asset.
Experience in digital health, health informatics, or clinical research environments is an asset.
Familiarity with data privacy and security requirements in healthcare environments is an asset.
Ability to work collaboratively with researchers, clinicians, engineers, and other members of multidisciplinary teams.
Strong communication skills and ability to clearly document technical processes.

Additional information

Status: Temporary, full time (35-hour workweek)

Pay Scale: Commensurate with education and experience

Work Shift: Monday to Friday 8:30am to 4:30pm

Work Site: 5252 de Maisonneuve Blvd.

Additional specifications: This is an in-person position requiring on-site presence to support application deployment, testing, and collaboration with the lab team.

***If you wish to include a cover letter, please attach it with your resume in one document. ***

Why work with us?

4-week vacation, 5th week after 5 years,
Bank of 12 paid days (personal days and days for sickness or family obligations),
13 paid statutory holidays,
Modular group insurance plan (including gender affirmation coverage),
Telemedicine,
RREGOP (defined benefit government pension plan),
Training and professional development opportunities,
Child Care Centres,
Corporate Discounts (OPUS + Perkopolis),
Competitive monthly parking rate,
Employee Assistance Program,
Recognition Program,
Flex work options and much more!

https://rimuhc.ca/careers

To learn more about our benefits, please visit http://rimuhc.ca/en/compensation-and-benefits

THIS IS NOT A HOSPITAL POSITION.

Equal Opportunity Employment Program

The Research Institute of the McGill University Health Centre hires on the basis of merit and is strongly committed to equity, diversity and inclusion within its community. We welcome applications from all qualified candidates who self-identify as members of racialized groups/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and 2SLGBTQIA+ persons. We also welcome candidates with the skills and knowledge to productively engage with diverse communities. Persons with disabilities who anticipate needing accommodations for any part of the application process may confidentially contact, research.talent@muhc.mcgill.ca

About employer

More about this job

Responsibilities

Establish and maintain MLOps and CI/CD pipelines, cloud and containerized environments, deployment automation, and monitoring for digital health applications and AI/ML systems. Collaborate with researchers, clinicians, and engineers to deploy and manage AI components, contribute to model development and evaluation as needed, and document technical processes.

Requirements

A bachelor's degree in computer science, software engineering, health informatics, or a related field - or equivalent professional experience - is required, along with 2–5 years of experience. Candidates need MLOps, CI/CD, cloud deployment, containerization, and programming experience, as well as advanced written and spoken French and English.

Skills

MLOps
CI/CD Pipelines
Cloud Infrastructure
Docker
Python
Application Deployment
Model Deployment
Infrastructure as Code
Monitoring and Logging
Large Language Models
Machine Learning
Natural Language Processing
Model Serving
Model Versioning
Experiment Tracking
Data Privacy and Security

Benefits

Four Weeks of Vacation
Paid Personal, Sick, and Family Days
Paid Statutory Holidays
Group Insurance
Telemedicine
Defined Benefit Pension Plan
Training and Professional Development
Child Care Centres
Corporate Discounts
Employee Assistance Program
Recognition Program
Flexible Work Options

Visa sponsorship

Not detected in the job text

Keywords

MLOps
CI/CD
Python
Docker
Amazon Web Services
Google Cloud Platform
Microsoft Azure
Cloud Infrastructure
Infrastructure as Code
Deployment Automation
Monitoring
Logging
Version Control
Release Management
Large Language Models
Artificial Intelligence
Machine Learning
Natural Language Processing
Model Serving
Model Versioning
Experiment Tracking
Inference Optimization
Digital Health
Health Informatics
Clinical Research
Data Privacy
Healthcare Security
Conversational AI
CI/CD Pipelines
Containerized Applications

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