Spécialiste senior en plateformes d’IA et MLOps

About the role

Join a new team based in Montreal and contribute to laying the technological foundations necessary for reliable deployment and operation of AI solutions. As part of the Energy Intelligence initiative, you will develop the infrastructure, automation mechanisms, observability, and governance practices needed to develop, evaluate, publish, and operate models in cloud, on-premises, edge, or disconnected environments. You will develop reusable platform services and self-service offerings for AI specialists and development product teams. Working alongside the Principal Azure Cloud Architect and software development, cybersecurity, and responsible AI teams, you will establish reliable and secure approaches for managing models, prompts, artifacts, environments, and deployments. This role will involve tackling complex challenges related to platforms and deployment while helping teams transform their experiments into reliable and deployable capabilities within products.

Responsibilities

• Conceive and maintain automated pipelines for model development, evaluation, conditioning, publishing, and deployment.
• Ensure reliable execution of models in cloud, containerized, on-premises, edge, and disconnected environments.
• Set up model registries and artifact management, traceability, version control, and production release processes to ensure coherent tracking throughout the model lifecycle.
• Create reproducible development and evaluation environments to ensure consistency of tests and validations.
• Implement quality monitoring for models, latency, availability, resource consumption, and costs.
• Automate security analysis, dependency management, testing, and policy application in development and deployment processes for AI solutions.
• Establish controlled processes for moving models and prompts between development, test, and production environments.
• Take care of inference loads on GPUs and CPUs, then optimize performance, resource usage, and costs.
• Develop rollback, fallback, and incident response mechanisms to support reliable operations of products.
• Collaborate with cybersecurity teams and responsible AI specialists to integrate security, governance, and responsible AI requirements into the platform.
• Develop reusable platform capabilities to enable AI specialists and development product teams to design, evaluate, and deploy their solutions more efficiently.

Qualifications

• Experience with cloud platforms, containers, Kubernetes, CI/CD pipelines, and infrastructure as code.
• Experience with deploying and operating machine learning or AI systems.
• Strong skills in software development and automation.
• Solid understanding of monitoring, reliability, security, and production release practices.
• Knowledge of model conditioning, inference services, and artifact management.

What you bring

• Familiarity with AI and ML services on Azure.
• Practical experience with optimizing and deploying small language models.
• Exposure to disconnected, offline, or edge environments.
• Experience in regulated or high-security environments.
• Experience with applied AI, building technologies, or energy management is an asset.

What we offer

• Competitive salary range of CAD $114,750 - CAD $162,000 per year.
• Flexible working arrangements, including remote work options.
• Health, dental, vision, life insurance, accident, and disability coverage.
• A telemedicine program.
• Paid family leave, parental leave, and caregiving leave.
• An employee assistance program offering mental health, family, and legal support.
• Salary, incentive plans, stock option plans, and retirement savings plans.
• Continuous feedback and development opportunities through our Talent Senior Development Program, global career opportunities, and access to the Schneider Career Space for new positions, projects, and mentors, as well as learning platforms like Coursera to acquire today's and tomorrow's skills.
• Teamwork and collaboration on-site.
• Volunteer leave programs, Schneider Foundation programs, and community support initiatives.
• Opportunities to make an IMPACT in your career.

Our values

• Inclusion
• Mastering
• Being purposeful
• Action
• Curiosity
• Working together

About us

With a global revenue of €40 billion and 9% organic growth, Schneider Electric employs over 150,000 people in more than 100 countries. We are committed to being the most inclusive and equitable employer worldwide, providing equal opportunities to all employees and ensuring they feel valued and safe to give their best. We believe that our differences make us stronger and promote fairness and good faith with all stakeholders. Our Charter of Trust is our Code of Conduct, demonstrating our commitment to ethics, safety, sustainability, quality, and cybersecurity across all aspects of our business and our desire to behave respectfully towards all our stakeholders. We are an employer who subscribes to the principle of equal opportunity. Our policy is to provide equal opportunities in recruitment, hiring, training, transfers, and promotions for all qualified individuals, regardless of origin, religion, color, gender, disability, ancestry, age, military status, sexual orientation, marital status, or any other protected characteristic under applicable law.