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ModiFace MLOps Team Lead

L'Oréal

ModiFace MLOps Team Lead

L'Oréal

·

On-site

·

Full-time

·

5d ago

Back

Fix Term

Ontario

Toronto

Tech

Full

  • Time

22-Jan-2026

Who We Are

Research, innovation, and scale! Modi Face is the first tech company to be acquired by beauty giant L'Oréal Groupe and provides industry leading AR and AI technology to the most influential brands in the world. Modi Face'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’Oreal’s Global Research and Innovation teams. Our product offerings include live 3D makeup and skin care simulation, anti-aging/skin-care diagnostics, and live hair colour simulation.

Please note this position is a 14-month contract position covering a maternity leave.

We are looking for a MLOps Team Lead to lead a team of specialized MLOps engineers and help Modi Face innovate and revolutionize the beauty industry. You will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued.

What You’ll Do

As an MLOps Team Lead, you will be responsible for guiding and empowering a team of talented MLOps Engineers to build, deploy, and manage our cutting-edge Computer Vision and Generative AI systems. Your responsibilities will include:

  • Lead & Mentor: Directly manage a team ofMLOpsengineers, fostering a culture of technical excellence, continuous learning, and agile delivery
  • Architecture & Deployment: Design and implement robust deployment pipelines (CI/CD/CT) for diverse model types, including real-time Computer Vision (YOLO) and large-scale Open-Source LLMs/VLMs (Llama,Stable Diffusion, Qwen, etc.)
  • Tooling & Automation: Standardize the ML lifecycle to ensure reproducibility from experimentation to production
  • Technical Vision & Roadmap: Contribute significantly to theMLOpstechnical roadmap, evaluatingnew technologiesand methodologies to continuously improve our ML infrastructure
  • Effective Communication: Communicate complex technical and business concepts, as well as team progress and challenges, effectively to diverse audiences, including senior leadership
  • Foster a Learning Culture: Actively foster a culture of continuous learning, knowledge sharing, collaboration, and improvement within the team and across the broader engineering organization

What You’ll Need

  • Experience: 5+ years ofprogressiveexperience inMLOps, Machine Learning Engineeringor related fields, with at least 1-2 years in a technical leadership or mentoring role.

Deep Technical Stack:

  • Expertisein Python programming languageand deep learning frameworks (Py Torch or Tensor Flow).
  • Strongproficiencyin Containerization(Docker)
  • Hands-on experience with CI/CD tools (e.g. Cloud build,Jenkins).
  • Domain Expertise:
  • Proventrack recordof deploying Computer Vision models in production environments.
  • Practical experience with Open-Source LLMs/VLMs, including RAG (Retrieval-Augmented Generation) architectures and vector databases (Chroma, Pinecone).
  • Engineering Rigor: Strong understanding of software engineering best practices, including version control, unit testing, and API design
  • Cloud Proficiency: Solid experience with cloud providers(particularly Google Cloud)and their specific ML offerings (e.g., Vertex AI).
  • Problem-Solving: A proactive mindset with the ability to troubleshoot complex infrastructure bottlenecks andoptimizemodel inference performance.
  • Communication: Ability to translate complex technical requirements into actionable roadmaps and communicate effectively with cross-functional stakeholders (Data Scientists, Product Managers, and IT)

**Compensation **At Modi Face, we believe compensation should be transparent, fair, and reflective of both experience and impact. The salary range for this role is $160.000 - 170.000 Compensation 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 Modi Face, 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 Modi Face, 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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About L'Oréal

L'Oréal

L'Oréal

Public

L'Oréal is a French multinational cosmetics and beauty company that develops, manufactures, and markets skincare, haircare, makeup, and fragrance products. The company operates through multiple divisions including consumer products, luxury brands, professional products, and active cosmetics.

10,001+

Employees

Clichy

Headquarters

Reviews

3.8

10 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.4

Career

4.2

Management

2.8

68%

Recommend to a Friend

Pros

Career growth and progression opportunities

Good compensation and benefits

Strong company reputation and brand

Cons

Management and leadership issues

Work-life balance challenges

Office politics and workplace culture issues

Salary Ranges

0 data points

Intern

Intern · Data Analyst

0 reports

$72,061

total / year

Base

-

Stock

-

Bonus

-

$61,252

$82,870

Interview Experience

35 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

41%

Experience

Positive 64%

Neutral 22%

Negative 14%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving