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Added 19 days ago
AI Data Developer I, Professional Services, Google Cloud
Google
Toronto, ON
Experience with data platform administration or distributed data processing techniques, as well as writing software in Java, Python, or SQL.
Added 19 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 19 days ago
OR
Data Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Proven experience as a Data Developer, analyst, engineer, or Data Scientist
Added 19 days ago
XS
AI Automation QA Engineer
XChange Software Inc
Canada
- Contract
Framework & Automation: Design, build, and maintain scalable, high-performance UI and API automation test frameworks using Playwright (TypeScript/JavaScript or Python).
Added 19 days ago
M
Senior Analyst, Digital Transformation & Automation
Medtronic
Brampton, ON
- Full-time
Use SQL, Python, DAX, Power Query, Snowflake, and similar technologies to analyze data and solve business problems.
Added 19 days ago
A
Prompt Engineer
Apptad
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 19 days ago
T
IT Manager Development (Python)
TD
Toronto, ON
- Full-time
…accountable for providing hands-on technical leadership across Python-based model integration, API/service design, data and model orchestration, validation workflows, user interaction…
Added 19 days ago
C
Senior Manager, Automation
CIBC
Toronto, ON
- Full-time
…efficient automation solutions using Microsoft Power Platform, Python, SQL, and/or Databricks. Ensure solutions are scalable, robust, and aligned with business…
Added 19 days ago
C
AI Engineer (Python and AI)
Collabera
Toronto, ON
- $80 to $100 CAD / hour
- Contract
This person should be particularly strong in Python, AWS, GenAI application development, RAG, and agentic AI. They will own solutions from architecture through development and deployment,…
Added 19 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Proficiency in Python and JavaScript/TypeScript (Next.js)
Added 19 days ago
JG
AI Engineer With Python Coding - 8+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 19 days ago
S
Senior Software Engineer, Backend
Sardine
Remote, Canada
- $180,000 to $206,000 CAD / year
- Full-time
- Remote
Added 19 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
Strong programming proficiency in SQL, Python, Scala, or related languages.
Added 19 days ago
CF
Manager, Data Operations
CI Financial
Toronto, ON
- Full-time
Proficiency in SQL and Python, with the ability to guide technical design and review solutions.
Added 19 days ago
II
DevOps Developer - Hybrid
ISAAC Instruments
Saint-Bruno-de-Montarville, QC · St-Bruno-de-Montarville, QC
- Full-time
Python, PowerShell, Azure CLI, Bash, Windows/Linux.
Added 19 days ago
O
Analyste technique en données et diagnostics
Otodata
Montreal, QC
- Full-time
…Connaissance de C# souhaitée, ou capacité à l’apprendre rapidement; Python, VBA ou tout autre langage de programmation pertinent constituent des atouts. · Expérience ou intérêt marqué pour…
Added 19 days ago
NB
Senior AI Engineering Developer
National Bank of Canada
Montreal, QC
- Full-time
an Senior AI Engineering Developer in the AI Solutions team at National Bank
Added 19 days ago
L
MLOps Developer
L'Oréal
Toronto, ON
- Full-time
…are exceedingly valued. We are seeking an experienced MLOps developer, helping us scale the next generation of beauty…
Added 19 days ago
S
Senior Software Developer
Seequent
Quebec, QC · Canada Quebec QC Office
- Full-time
Expérience en stockage de données relationnelles et NoSQL, avec une solide maîtrise de SQL, de Python et de JSON,
Added 19 days ago
PC
Deals Value Creation Analytics Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
Experience integrating disparate data sources and structuring, cleansing, and transforming data using tools such as Alteryx, SQL, Python, Databricks, or Power Query
Added 19 days ago
L
Fullstack Perception Engineer
LIVESENS
Toronto, ON
- Full-time
Practical experience with Python, TypeScript, and React
Added 19 days ago
E
AV Service Engineer - Control Systems & Device Integration
EvertzAV
Burlington, ON
- Internship
Hands-on programming/scripting ability (e.g., C#, C++, Python, JavaScript, or similar) sufficient to build or modify device drivers from a protocol spec
Added 19 days ago
SM
Senior Technical Lead (Full-Stack & Applied ML) (Contract)
Stichting Mission on Wheels
Calgary, AB
- Full-time
Python, statistics and applied ML fundamentals. You can explain leakage, reference error, calibration, and why a model that looks great in a notebook falls apart on new users
Added 19 days ago
D
C++ Software Engineer - Machine Vision (AOI)
DaoAI
Vancouver, BC
- $90,000 to $120,000 CAD / year
- Full-time
Proficient in Python for tooling/automation, and in Git.
Added 19 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Proficiency in Python and/or other relevant programming or scripting languages.

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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