Pointe Claire, Qc Level python developer Jobs – 127 Openings This Week

Staff Machine Learning Engineer
Scientific Games —Montréal, QC
- Full-time
- Azure
- Computer Science
- Engineering
Ingénieur Développement
Ericsson —Montréal, QC
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- Azure
- Computer Science
- Wellness program
- Employee stock purchase plan
Développeur·se DevSecOps - DevSecOps Developer
TobogganLabs —Montréal, QC
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Senior AxiomSL Developer
Luxoft —Montréal, QC
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Master Security Specialist
Ericsson —Montréal, QC
- Bilingual
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Cloud Analyst
Sun Life —Montréal, QC
- $54,000–$89,000 a year
- Full-time
- Azure
- Computer Science
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5d
DevOps Platform Integrator
Bombardier —Dorval, QC
- Day shift
- Hybrid work
- Azure
- Computer Science
- English
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- Employee assistance program
3d
Camera Driver Developer
IMMERVISION —Montréal, QC
- Part-time
- Computer Science
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- Windows
Programmer Analyst
Société Générale —Montréal, QC
- Hybrid work
- Azure
- System design
- English
1d
FPGA/ASIC Verification Specialist
Orthogone Technologies —Saint-Laurent, QC
- Remote
- Bilingual
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- English
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Senior Embedded Imaging & Camera Driver Software Developer
IMMERVISION —Montréal, QC
- Computer Science
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Performance Engineer
Devoted Studios —Montréal, QC
- Full-time
- Remote
- C++
- Python
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Lead Développeur en données quantitatives (Snowflake)
TS Imagine —Montréal, QC
- Master's degree
- SQL
- Machine learning
Quick apply
22h
Senior Engineering Developer, Site reliability
National Bank of Canada —Montréal, QC
- Full-time
- Hybrid work
- Bilingual
- DevOps
- Engineering
- Wellness program
- Employee assistance program
Consultant principal / Responsable de l'IA - Principal Consultant / Head of AI
TobogganLabs —Montréal, QC
- English
- Master's degree
- Presentation skills
- Disability insurance
- Dental care
Quick apply
Développeur·se senior en sécurité des plateformes - Senior Platform Security Developer
TobogganLabs —Montréal, QC
- Remote
- Azure
- DevOps
- English
- Disability insurance
- Dental care
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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
Site Reliability Specialist
Ubisoft —Montréal, QC
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Directeur.rice, Ingénierie produit (Technologie) | Director, Product Engineering (Technology)
Altitude Sports —Montréal, QC
- Part-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's
- Dental care
Quick apply
8d
Sr. Manager, Data Analytics
Voldex Games —Montréal, QC
- Full-time
- Remote
- SQL
- AWS
- Communication skills
- Profit sharing
- Dental care

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Staff Machine Learning Engineer

Scientific Games -
Montréal, QC

Apply Now

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Azure
Computer Science
Kubernetes
Engineering
System architecture
Master's degree
Docker
Bachelor's
Distributed systems
Usability
AI
Python

Full job description

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 .

Apply Now

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level python developer jobs in pointe claire, qc

Staff Machine Learning Engineer

Ingénieur Développement

Développeur·se DevSecOps - DevSecOps Developer

Senior AxiomSL Developer

Master Security Specialist

Cloud Analyst

DevOps Platform Integrator

Camera Driver Developer

Programmer Analyst

FPGA/ASIC Verification Specialist

Senior Embedded Imaging & Camera Driver Software Developer

Performance Engineer

Lead Développeur en données quantitatives (Snowflake)

Senior Engineering Developer, Site reliability

Consultant principal / Responsable de l'IA - Principal Consultant / Head of AI

Développeur·se senior en sécurité des plateformes - Senior Platform Security Developer

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

Site Reliability Specialist

Directeur.rice, Ingénierie produit (Technologie) | Director, Product Engineering (Technology)

Sr. Manager, Data Analytics

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