17 meilleures offres (developer operations engineer, brossard, qc) (à pourvoir)

Staff Machine Learning Engineer
Scientific Games —Montréal, QC
- Temps plein
- Azure
- Informatique
- Ingénierie
12 h
OUTSIDE SALES REPRESENTATIVE – BILINGUAL (FRENCH/ENGLISH)
TOTO USA, Inc. —Saint-Lambert, QC
- 85 000 $ par an
- Temps plein
- Télétravail
- Microsoft Powerpoint
- Bilingue
- Microsoft Word
- Jours fériés payés
- Assurance Dentaire
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Product Manager - Robotics & Automation Programming Platform
Vention —Montréal, QC
- Temps plein
- Travail hybride
- Informatique
- Ingénierie
- Assemblage
- Travail à domicile
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Senior Software Engineering Manager, Platform
MaintainX —Montréal, QC
- Temps plein
- Travail hybride
- DevOps
- Compétences en communication
- Assurance Dentaire
- Congés payés
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Senior or Lead Full-Stack Developer
MaintainX —Montréal, QC
- Temps plein
- Travail hybride
- Informatique
- Azure
- Informatique
- Assurance Dentaire
- Congés payés
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DevOps Specialist
MaintainX —Montréal, QC
- Temps plein
- Travail hybride
- Azure
- DevOps
- AWS
- Assurance Dentaire
- Congés payés
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Senior Software Development Manager, Platform
MaintainX —Montréal, QC
- Temps plein
- Travail hybride
- DevOps
- Compétences en communication
- Assurance Dentaire
- Congés payés
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Verification and Validation Engineer - Test & Automation
Octasic Inc. —Montréal, QC
- Temps plein
- Informatique
- Azure
- DevOps
- Aide au Transport Quotidien
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Director, Infrastructure & SRE
TailorCare —Montréal, QC
- Sur appel
- Télétravail
- Salesforce
- DevOps
- AWS
- Assurance Invalidité
- Assurance Dentaire
Senior Credit Analyst - Credit Portfolio Management – Real Assets and Infrastructure
Société Générale —Montréal, QC
- Travail hybride
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Director, Project Design
Vortex Aquatic Structures International Inc. —Pointe-Claire, QC
- Temps plein
- Bilingue
- Anglais
- Capacités de présentation
- Assurance Dentaire
- Bourses d'Études
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il y a 14 jours
Capital Market Support Engineer
Recutify Inc. —Montréal, QC
- Temps plein
- DevOps
- SQL
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Talent Acquisition & HR Specialist
Astucemedia —Montréal, QC
- Temps plein
- Bilingue
- Marketing
- Anglais
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Senior Developer Operations Engineer
Unity Technologies Canada Company —Montréal, QC
- De 10 300 $ à 140 000 $ par an
- Temps plein
- Azure
- DevOps
- Anglais
- Programmes de Bien-être
- Assurance Invalidité
il y a 14 jours
Sales Representative - Engineering Services
Demand For HR —Canada
- Travail hybride
- Logiciels de GRC/CRM
- Vente
- Ingénierie
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Go-To-Market (GTM) Engineer
Maya HTT —Montréal, QC
- Temps plein
- Travail hybride
- Bilingue
- Vente
- Anglais
- Assurance Invalidité
- Assurance Dentaire
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9 h
AI Presales Engineer
Maya HTT —Montréal, QC
- Temps plein
- Travail hybride
- Informatique
- Vente
- Ingénierie
- Assurance Invalidité
- Assurance Dentaire
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9 h

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Specialist - Software Engineering
LTM —Mississauga, ON
Design and implement frontend components using frameworks such as React Angular or Vuejs Develop serverside logic APIs and database schemas using Python…
De 87 896 $ à 93 824 $ par an
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Senior RPA Engineer
Peoples Trust Company —Toronto, ON
Active participation in design, development, code reviews, and delivery. Experience with modern development tools and practices, such as CI/CD, infrastructure…
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Staff Machine Learning Engineer

Scientific Games
Montréal, QC

Postuler dès maintenant

Détails du poste

Temps plein
Il y a 12 heures

Compétences

CI/CD
Infrastructure infonuagique
Azure
Informatique
Kubernetes
Ingénierie
Architecture de système
Maîtrise
Docker
Baccalauréat
Systèmes distribués
Utilisabilité
Intelligence artificielle
Python

Description complète du poste

Scientific Games:

Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.

Position Summary

About the Role

We are looking for a Staff Machine Learning Engineer to define and build the machine learning platform architecture for the organization. This team will create the enabling layer that allows Data Scientists to self-serve deployment, experimentation, batch scoring, online inference, monitoring, and safe rollout workflows .

This is a platform creation role, not a platform operations gatekeeper role . The success metric is not how many deployments the team executes directly, but how effectively the platform allows domain Data Scientists to deploy independently through highly reliable self-service workflows. The initial Staff MLE hires will establish the architectural foundations, engineering standards, reusable tooling strategy, and platform roadmap that the Senior MLE team will scale.

This role is based out of Toronto.

Qualifications

Key Responsibilities

Define the target architecture and phased roadmap for the organization’s first ML platform
Build self-service deployment frameworks enabling Data Scientists to productionize models independently
Architect reusable capabilities for model registry, deployment orchestration, feature retrieval, inference routing, observability, and rollback
Define golden paths for batch inference, real-time serving, shadow deployment, canary rollout, A/B testing, and full production release
Establish platform engineering standards across SDKs, templates, CI/CD, testing, infrastructure-as-code, and developer workflows
Design platform primitives that support recommendation systems, forecasting, optimization, and experimentation use cases
Mentor Senior MLEs and raise software engineering quality, architecture rigor, and platform thinking across the team
Partner with Data Science leadership to ensure the platform accelerates DS velocity rather than introducing process friction

Required Qualifications

Education

Master’s degree in Computer Science, Engineering, Distributed Systems, Machine Learning, or another related STEM field
Bachelor’s degree with exceptional relevant platform engineering depth is acceptable

Experience

5+ years of hands-on experience in ML engineering, platform engineering, or large-scale production ML systems
Proven experience designing platform architecture and reusable ML tooling standards
Experience building self-service internal platforms, developer tooling, or ML deployment frameworks
Strong experience enabling applied Data Science teams through reusable infrastructure rather than centralized service models
Experience leading architecture decisions and mentoring engineers

Technical Skills

Deep expertise in ML systems architecture across batch and low-latency real-time serving
Strong hands-on experience with Docker, Kubernetes, infrastructure automation, and cloud-native ML workloads
Strong expertise in model lifecycle tooling including MLFlow, registries, validation gates, and promotion workflows
Advanced experience designing CI/CD, canary, rollback, and deployment safety systems for ML
Experience with feature stores, online/offline feature parity, and low-latency feature retrieval
Strong Python engineering standards and ability to write production-grade frameworks and SDKs

Leadership

Demonstrated ability to define technical direction for platform teams
Strong mentorship track record for Senior and mid-level MLEs
Strong cross-functional influence with DS, data platform, and product engineering teams
Bias toward building self-service systems that maximize organizational leverage

Preferred Qualifications

Experience building greenfield ML platforms from zero to scaled enterprise adoption
Experience supporting self-service recommendation, ranking, forecasting, and optimization systems
Familiarity with Databricks, Azure ML, SageMaker, Vertex AI, or equivalent ML platforms
Experience building internal developer portals, CLIs, or workflow SDKs
Strong platform product thinking focused on usability, adoption, and DS productivit

SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster .

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : developer operations engineer (brossard, qc)

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