Montréal Qc Level python developer Jobs – 140 Openings This Week

AI Platform Administration Manager
Maarut Inc —Montréal, QC
- Contract
- Hybrid work
- Azure
- DevOps
- No experience needed
Quick apply
4h
Développeur en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT —Montréal, QC
- Hybrid work
- Computer Science
- Engineering
- English
- Flexible schedule
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2h
LLM Developer Senior Analyst
Accenture —Montréal, QC
- $27.16–$51.20 an hour
- Full-time
- Hybrid work
- English
- Java
- Bachelor's
22h
Principal Software Developer
Aspen Technology —Montréal, QC
- Full-time
- Azure
- Computer Science
- DevOps
1d
Lead Quantitative Snowflake Developer
TS Imagine —Montréal, QC
- Master's degree
- SQL
- No university degree
Quick apply
21h
Associate Technical Product Manager / Chef(fe) de produit technique associé(e)
FlightHub —Montréal, QC
- Schematics
- Engineering
- Hotel
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Site Reliability Engineer
Tecsys Inc. —Montréal, QC
- Full-time
- Hybrid work
- DevOps
- English
- Java
Quick apply
Security Architect / Security Controls Architect
Atlantis IT group —Montréal, QC
- Azure
- DevOps
- Windows
Quick apply
13d
Lead RPA Engineering Specialist (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Engineering
- English
Database Administrator – SQL Server & Oracle (Senior)
CGI —Montréal, QC
- Full-time
- Bilingual
- Azure
- Oracle
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Observability / DevOps Advisor
Intact —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
- Employee stock purchase plan
12d
Programmeur.se backend senior / Senior Backend Programmer
Bethesda Game Studios —Montréal, QC
- On call
- Computer science
- Azure
- Computer Science
Senior AI Platform Engineering Specialist (Hybrid) - Job Level: Vice President
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Computer Science
- DevOps
Développeur logiciel Python senior (outillage pour équipe IA)
Wabtec —Montréal, QC
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Work from home
- Flexible schedule
Quick apply
Senior Cloud Engineering Specialist (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- Azure
- DevOps
Lead Messaging Engineering Specialist (Hybrid)
Morgan Stanley —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- English
- Scripting
Middleware Administrator – IBM MQ & Messaging Systems (Intermediate)
CGI —Montréal, QC
- $80,000–$115,000 a year
- Full-time
- Computer Science
- Engineering
- English
Quick apply
Développeur sénior de plateforme d'identité/Senior Identity Platform Developer
GoTo —Montréal, QC
- Full-time
- Remote
- Microsoft Access
- Azure
- Computer Science
- Wellness program
- Disability insurance
Analyste en Réseaux Électriques / Power System Analyst.
OPAL-RT —Montréal, QC
- Hybrid work
- Doctoral degree
- Engineering
- Laboratory experience
- Flexible schedule
Quick apply
Senior Software Engineer, AI Game Creation Platform
Ironbelly Studios —Montréal, QC
- Hybrid work
- AWS
- APIs
- AI
- Dental care
- Paid time off
Quick apply

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level python developer jobs near montréal qc

AI Platform Administration Manager

Maarut Inc -
Montréal, QC

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Job details

Contract
4 hours ago

Qualifications

French
Azure
Kubernetes
DevOps
R
No experience needed
AWS
GitHub
S3
Financial services
AI
Jenkins
Communication skills
Python

Full job description

Job Overview

Client is looking for a technical profile with a strong component of communication (simplification) and governance, not strictly an AI developer. The candidate must be hands-on with the platform (Anaconda Enterprise, Posit, AWS SageMaker, MLflow) and able to present AI capabilities to an executive audience.
This dual mandate—platform operations and governance implementation across all business units—is what distinguishes this role from a purely technical one.
Key recurring terms in the description highlight the true priorities: “ecosystem,” “governance,” “all business units,” “executive stakeholders.” The client is looking for someone who sees the AI platform as a shared service to evolve and structure, not as a one-time project.
Experience in setting up an AI ecosystem (not just using AI tools) is the central priority.

Note: The client is likely targeting someone who has already operated an AI platform in a multi-team environment. A candidate familiar with cross-functional data environments will have a practical advantage for transversal governance.

Profiles to exclude:

AI developers focused on modeling without platform.
Cloud architects without an MLOps foundation.
AI transformation consultants without hands-on technical experience with client's listed tools

Requirements

Experience implementing an AI ecosystem. (Must have actually implemented, not just used)
Strong knowledge of AI concepts, including executive-level communication. (Simplification is explicit)
Mastery of software engineering best practices.
Strong data engineering knowledge.
Proficiency in Python and/or R. (Either is sufficient)
Proficiency in AWS SageMaker or Azure AI. (Either is sufficient)
Proficiency in Anaconda Enterprise or Posit (Either is sufficient)
Proficiency in MLflow or Airflow (Either is sufficient)

Desired

Knowledge of Snowflake and AWS S3(Representative)
DevOps: GitHub, Jenkins, Kubernetes (Evaluate overall DevOps maturity)
Strong AWS cloud ecosystem knowledge

Required

5+ years of experience
Special projects: POCs, architecture validations, complex initiatives (explicitly required)

WHAT WE ARE LOOKING FOR

A profile such as an AI platform administrator or manager with at least 5 years of experience, who has already implemented or operated an AI ecosystem in production in a multi-team or cross-functional context.

The candidate must:

Master at least one tool from each category:
SageMaker or Azure AI
Anaconda Enterprise or Posit
MLflow or Airflow
Python or R
Act as a technical reference for clients AI teams
Establish governance rules across all business units
Present AI capabilities to executive audiences

The role also includes special initiatives: proof of concepts, architecture validations, complex projects.

Knowledge of data engineering (Snowflake, AWS S3) and DevOps (GitHub, Jenkins, Kubernetes) is desirable.
Experience in insurance or financial services is an asset but not required.

WHAT WE DO NOT WANT

Profiles focused on modeling/data science without AI platform operations experience
Less than 5 years of experience in AI and software engineering
No hands-on experience with at least one of client's named tools
No experience building shared or multi-team AI ecosystems
Inability to simplify and present AI concepts to executive stakeholders

#IMPJOB

Language:

French (preferred)

Work Location: Hybrid remote in Montréal, QC

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Refine Your Search

level python developer jobs in montréal qc

AI Platform Administration Manager

Développeur en Automatisation Assurance Qualité / Quality Assurance Automation Developer

LLM Developer Senior Analyst

Principal Software Developer

Lead Quantitative Snowflake Developer

Associate Technical Product Manager / Chef(fe) de produit technique associé(e)

Site Reliability Engineer

Security Architect / Security Controls Architect

Lead RPA Engineering Specialist (Hybrid)

Database Administrator – SQL Server & Oracle (Senior)

Observability / DevOps Advisor

Programmeur.se backend senior / Senior Backend Programmer

Senior AI Platform Engineering Specialist (Hybrid) - Job Level: Vice President

Développeur logiciel Python senior (outillage pour équipe IA)

Senior Cloud Engineering Specialist (Hybrid)

Lead Messaging Engineering Specialist (Hybrid)

Middleware Administrator – IBM MQ & Messaging Systems (Intermediate)

Développeur sénior de plateforme d'identité/Senior Identity Platform Developer

Analyste en Réseaux Électriques / Power System Analyst.

Senior Software Engineer, AI Game Creation Platform

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