Senior AI Platform & MLOps Engineer

Schneider Electric; Montreal; On-site; CAD 115,000 - 162,000; Full time

Benefits offered by this job

Insurance coverage

Paid family leaves

Employee assistance program

Job summary

Schneider Electric in Montréal seeks a Senior ML Platform Engineer to build scalable AI infrastructure and governance for production deployments across cloud, on-prem, edge, and disconnected environments. You will partner with AI engineers and product teams to drive repeatable model pipelines and reliable operations.

You will leverage automation, software engineering, and MLOps foundations to enable secure, observable, and cost-aware deployments while learning across disciplines in a

Qualifications

• Experience with cloud platforms, containers, Kubernetes, CI/CD pipelines, and infrastructure as code.
• Background in deploying and operating machine-learning or AI systems.
• Proficiency in software development and automation.
• Knowledge of monitoring, reliability, security, and release management practices.

Responsibilities

• Build and maintain automated pipelines for model development, evaluation, packaging, release, and deployment.
• Enable reliable model inference across cloud-hosted, containerized, on-premises, edge, and disconnected environments.
• Implement model registries, artifact management, lineage, versioning, and release controls to support traceability throughout the model lifecycle.
• Create reproducible development and evaluation environments that enable consistent testing and validation.
• Establish monitoring for model quality, latency, availability, resource consumption, and cost.
• Automate security scanning, dependency management, testing, and policy enforcement across AI development and deployment workflows.
• Implement controlled processes for promoting models and prompts across development, test, and production environments.
• Support GPU and CPU inference workloads and optimize performance, resource utilization, and cost.
• Develop rollback, fallback, and incident-response mechanisms to support reliable product operations.
• Collaborate with cybersecurity and responsible AI stakeholders to incorporate security, governance, and responsible AI requirements into the platform.
• Develop reusable, self-service platform capabilities that enable AI engineers and product development teams to build, evaluate, and deploy AI solutions more efficiently.

Skills

Cloud platforms

Containers

Kubernetes

CI/CD pipelines

Infrastructure as code

Software development

Automation

Monitoring

Security

Release management

Tools

Azure

Job description

Schneider Electric in Montréal seeks a Senior ML Platform Engineer to build scalable AI infrastructure and governance for production deployments across cloud, on-prem, edge, and disconnected environments. You will partner with AI engineers and product teams to drive repeatable model pipelines and reliable operations.

You will leverage automation, software engineering, and MLOps foundations to enable secure, observable, and cost-aware deployments while learning across disciplines in a