AI Engineer / Intelligent Operations (Infrastructure)-8

Toronto, Ontario M5V 3L9 Posted April 9th, 2026

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Job Type: Full Time

Job Category: IT

Job Description

Role: AI Engineer – Intelligent Operations (Infrastructure)

Location: Toronto, ON

Employment Type: Full-Time (FT)

Work Mode: Onsite

Job Description:

We are seeking an experienced AI Engineer – Intelligent Operations (Infrastructure) to design and implement AI-driven solutions that enhance infrastructure monitoring, automation, and operational efficiency. The ideal candidate will work at the intersection of AI/ML, cloud infrastructure, and DevOps to build intelligent operational systems.

Key Responsibilities:

Develop and deploy AI/ML models for infrastructure monitoring and predictive maintenance

Automate incident detection, root cause analysis, and remediation workflows

Integrate AI solutions with cloud and on-prem infrastructure platforms

Build data pipelines for infrastructure logs and telemetry analysis

Collaborate with DevOps, SRE, and Cloud teams

Optimize system performance, scalability, and reliability

Implement MLOps practices for model deployment and lifecycle management

Provide technical leadership and documentation

Required Skills:

Strong experience in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Experience working with infrastructure monitoring data (logs, metrics, traces)

Knowledge of cloud platforms (AWS, Azure, or GCP)

Experience with Docker and Kubernetes

Understanding of DevOps and CI/CD practices

Strong analytical and problem-solving skills

Preferred Qualifications:

Experience in AIOps or Intelligent Automation

Knowledge of monitoring tools (Splunk, Datadog, Prometheus, etc.)

Experience with MLOps tools (MLflow, SageMaker, Vertex AI)

Strong communication and stakeholder collaboration skills

Required Skills

DEVOPS ENGINEER

SENIOR EMAIL SECURITY ENGINEER