Jobs in Canada

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Added 25 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
Experience with distributed data processing technologies such as Spark or equivalent frameworks.
Added 25 days ago
SL
Senior Security Platform Developer, Security Automation (Python, Splunk SOAR)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
The Security Automation & Orchestration team builds automation that connects and enhances security capabilities across Security Operations. Working across technologies such as SIEM,…
Added 25 days ago
D
Senior Software Developer
DNV
Toronto, ON
- Full-time
The Senior Software Developer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 25 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Missions System International
Ottawa, ON
- Full-time
Experience with automation tools such as Ansible, Squish and Python
Added 25 days ago
TS
Analyst, Client Solutions – Global Transaction Banking
TD Securities
Toronto, ON
- Full-time
Experience with Python or other scripting languages is an asset.
Added 25 days ago
S
Senior Data Engineer
Sobeys
Stellarton, NS
- Full-time
Significant experience (5+) developing with Spark (python/Vscode/Databricks Notebooks preferably) and specifically within Azure Databricks.
Added 25 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Hands-on experience with API and backend automation, including Rest Assured, Postman, or equivalent tools/frameworks.
Added 25 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- $75,400 to $125,400 CAD / year
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 25 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- $75,400 to $125,400 CAD / year
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 25 days ago
AC
SAS/Python Developer
Adastra Corporation
Markham, ON
- Full-time
Join Adastra’s Data Engineering team as a SAS/Python Developer, where you will help build and modernize the data platforms that power customer analytics, personalization, marketing, risk,…
Added 25 days ago
M
Agentic AI and Automation
Mantu
Montreal, QC
- Full-time
Work model: Hybrid, 1 day per week onsite in Montréal
Added 25 days ago
OR
Network Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Practical experience with scripting (Python, Bash, PowerShell, Terraform and Ansible) for network automation and operational efficiency.
Added 25 days ago
TC
Quality Engineer / SDET – AI Chatbot Validation
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
Experience with API testing and automation frameworks.
Added 25 days ago
KI
Senior QA Engineer
KPG99 INC
Toronto, ON
- Full-time
Hands-on experience with test automation frameworks (e.g., Selenium, Pytest, or similar)
Added 25 days ago
E
Developpeur logiciel de produits etudiant
Ericsson
Montreal, QC
- Full-time
…support building, deploying, and maintaining telco-grade network automation product deployments in the public cloud. This role is hands-on and learning-focused - you’ll work with…
Added 25 days ago
E
Radio Algorithm Co-op
Ericsson
Ottawa, ON
- Full-time
Duration: 12-16 months (for co-ops) | 8 months+ (for interns, with potential for extension)
Added 25 days ago
T
Senior Windows Server Automation Engineer
TD
Toronto, ON
- Full-time
Automation Development: Substantial experience independently designing, developing, testing, debugging, and maintaining reusable, production-grade automation code using Ansible and/or…
Added 25 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
We are seeking a highly skilled incumbent with deep, hands-on experience designing, implementing, and optimizing enterprise-scale solutions on Google Cloud Platform (GCP), with proven…
Added 25 days ago
E
Sr. Backend Engineer - Test Automation
eBay
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer with strong backend development experience and a passion for building high-quality, reliable software through automation.
Added 25 days ago
TD
Associate, Strategic Finance & Analytics
Tetra Digital Group
Toronto, ON
- $125,000 to $175,000 CAD / year
- Full-time
🏢 Toronto, in-office five days a week through a three-month onboarding period, hybrid (three days in office) thereafter
Added 25 days ago
Senior Cloud Security & DevSecOps Engineer
Capgemini
Toronto, ON
Familiarity with security and compliance frameworks such as PCI DSS, SOC 2, ISO 27001, and CIS.
Added 25 days ago
Principal Software Developer
Aspen Technology
Montreal, QC
AspenTech is looking for a talented and experienced Developer with Quality background to join our Enterprise Operations Platform (EOP) organization. In this role, you will be responsible…
Added 25 days ago
D
Senior Automation Engineer
DIRTT
AB · Calgary, AB
- Full-time
Internal Collaboration: Partner directly with internal SMEs to capture process definitions, business rules, and edge-case logic, translating these requirements into production-ready…
Added 25 days ago
L
MLOps Developer
L'Oréal
Toronto, ON
- Full-time
The Role In this critical role, you will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued. We are…
Added 26 days ago
RB
Principal AI Engineer, AI DLC Platform
Royal Bank of Canada
Toronto, ON
- Full-time
Design and build multi-agent workflows with orchestration frameworks (LangGraph, CrewAI, AutoGen) including tool use, memory, planning, guardrails and human-in-the-loop patterns.

L'Oréal

MLOps Developer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: Experience: 3+ years of hands-on experience as anMLOpsdeveloper in a cloud-native development environment.
Posting language: English
Posted: Sep 23, 2026

Original job description

Research, innovation, and scale! ModiFace is the first tech company to be acquired by beauty giant L’Oréal and provides industry leading AR and AI technology to the most influential brands in the world. ModiFace’s patented technology is based on more than a decade of advanced facial recognition research at the University of Toronto and in collaboration with L'Oréal’s Research and Innovation team. Our services include live 3D makeup and skin care simulation, anti- aging/skin-care diagnostics, and live hair colour simulation.

The Role In this critical role, you will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued. We are seeking an experienced MLOps developer, helping us scale the next generation of beauty tech.

What You’ll Do

End-to-End Automation: Develop automated tools for all stages of the AI/ML pipeline in a cloud environment, spanning data processing, model training, and serving
CI/CD for Machine Learning: Design andmaintainContinuous Integration and Continuous Deployment pipelines specifically tailored for ML artifacts (data, models, and code)
Infrastructure as Code (IaC): Work with DevOps team to provision, manage, and scale cloud-based infrastructure (primarily GCP) to support high-throughput inference
Model Optimization: Optimizedeep learning models for seamless deployment and performance across web and mobile platforms.
LLM Integration: Collaborate closely with ML engineers and product teams to convert domain-specific APIs into structured, LLM-controllable tools.
Engineering Excellence: Championbest software development practices by activelyparticipatingin peer code reviews, automated testing, and agile ceremonies.
Cross-Functional Collaboration: Industrialize ML models by working closely with diverse teams, fostering a culture of continuous learning, collaboration, and improvement.

What You’ll Need

Education: Bachelor’s orMaster’s degree in Computer Science, Software Engineering, or a closely related technical field.
Experience: 3+ years of hands-on experience as anMLOpsdeveloper in a cloud-native development environment.
Programming Mastery: A strong software engineering background with exceptional fluency in Python.
Containerization &Orchestration: Deepexpertisewith Docker and container orchestration platforms (e.g., Kubernetes).
Cloud Platforms: Extensive, hands-on experience provisioning and managing infrastructure on cloud providers (GCP is strongly preferred).
ML Ecosystem: Solid practical knowledge of ML frameworks and lifecycle tracking tools (e.g.,MLflow, DVC).
Agile Mindset: Demonstratedsuccess working in a fast-paced Agile/SCRUM development setting.
Exceptional Communication: The aptitude to translate complex mathematical and scientific concepts into clear, understandable terms for non-technical audiences, coupled with a passion for global teamwork.

Compensation

At ModiFace, we believe compensation should be transparent, fair, and reflective of both experience and impact. The total compensation range for this role is $145,000 - 155,000/year, and is determined based on skills, experience, and the scope and complexity of the role. We value open conversations about compensation and are happy to discuss our approach at any stage of the hiring process.

What We Offer

When you join ModiFace, you’ll enjoy working with a team of passionate software developers and business professionals who are open and collaborative within an inclusive environment. We offer an opportunity to advance and refine your skills and talent.

Along with a competitive salary, we offer access to Health & Dental Benefits, including company-sponsored Wellness & Training programs, Profit Sharing, RRSP Matching, Employee Assistance Programs, exciting in-office and off-site social activities, team lunches, a stocked kitchen, and more!

At ModiFace, we create software used by diverse people globally. We value diversity and inclusion within our team to ensure we can deliver the most fair and accessible technology possible, so we welcome and encourage all persons to apply. Accommodations are available upon request for candidates taking part in all aspects of the selection process.

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More about this job

Responsibilities

Develop and automate cloud-based machine learning pipelines, CI/CD processes, and infrastructure, primarily on Google Cloud Platform, while optimizing models for web and mobile deployment. Collaborate with ML engineers, product teams, and other partners to integrate LLM-controllable tools, industrialize models, and uphold strong engineering practices.

Requirements

Requires a bachelor’s or master’s degree in computer science, software engineering, or a related technical field, plus at least three years of hands-on MLOps experience in a cloud-native environment. Candidates should have strong Python skills, expertise in Docker and Kubernetes, practical knowledge of ML frameworks and lifecycle tools such as MLflow and DVC, and experience with Agile/Scrum.

Skills

MLOps
Python
Docker
Kubernetes
Google Cloud Platform
Machine Learning
CI/CD
Infrastructure As Code
Model Optimization
MLflow
DVC
Agile/Scrum
Automated Testing
Code Reviews
Communication

Benefits

Health And Dental Benefits
Wellness And Training Programs
Profit Sharing
RRSP Matching
Employee Assistance Programs
Social Activities
Team Lunches
Stocked Kitchen

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Python
Google Cloud Platform
Docker
Kubernetes
Machine Learning
Artificial Intelligence
CI/CD
Infrastructure As Code
Cloud Infrastructure
Data Processing
Model Training
Model Serving
Deep Learning
Model Optimization
MLflow
DVC
Large Language Models
APIs
Automated Testing
Code Reviews
Agile
Scrum
Facial Recognition
Augmented Reality
Beauty Technology
Web Platforms
Mobile Platforms

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Jobs in Canada