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