Job Title

Who We Are Research, innovation, and scale! ModiFace is the first tech company to be acquired by beauty giant L''''Oral Groupe and provides industryleading 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 LOrals Global Research and Innovation teams. Our product offerings include live 3D makeup and skincare simulation, antiaging/skincare diagnostics, and live hair colour simulation. Please note this position is a 14month contract position covering maternity leave. We are looking for a MLOps Team Lead to lead a team of specialized MLOps engineers and help ModiFace 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 Youll Do Lead & Mentor: Directly manage a team of MLOps engineers, 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 realtime Computer Vision (YOLO) and largescale OpenSource 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 the MLOps technical roadmap, evaluating new technologies and 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 Youll Need Experience: 5+ years progressive experience in MLOps, Machine Learning Engineering or related fields, with at least 12 years in a technical leadership or mentoring role. Deep Technical Stack: Expertise in Python programming language and deep learning frameworks (PyTorch or TensorFlow). Strong proficiency in Containerization (Docker). Handson experience with CI/CD tools (e.g., Cloud Build, Jenkins). Domain Expertise: Proven track record of deploying Computer Vision models in production environments. Practical experience with OpenSource LLMs/VLMs, including RAG (RetrievalAugmented 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). ProblemSolving: A proactive mindset with the ability to troubleshoot complex infrastructure bottlenecks and optimize model inference performance. Communication: Ability to translate complex technical requirements into actionable roadmaps and communicate effectively with crossfunctional stakeholders (Data Scientists, Product Managers, and IT). Compensation The salary range for this role is $160,000 $170,000, 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, youll 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 provide access to Health & Dental Benefits, including companysponsored Wellness & Training programs, Profit Sharing, RRSP Matching, Employee Assistance Programs, exciting inoffice and offsite 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. #J-18808-Ljbffr