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AI Platform Engineer
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
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Job Title: AI Platform Engineer – GCP / DevOps
Location: Toronto, ON, Canada
Work Model: Hybrid
Duration: Contract
Domain: Insurance
Job Description
We are looking for a highly skilled AI Platform Engineer with strong GCP and DevOps expertise to design, build, deploy, and maintain scalable cloud platforms supporting AI/ML and fraud detection initiatives. The ideal candidate will have hands-on experience with Google Cloud Platform, Kubernetes, Terraform, CI/CD, cloud-native infrastructure, and AI/ML platform deployment.
The role will work closely with data scientists, ML engineers, software engineers, security teams, and architects to build reliable and secure platforms for fraud detection and risk analytics.
Key Responsibilities
- Design and implement scalable AI/ML platforms on Google Cloud Platform (GCP).
- Build and maintain cloud infrastructure using Terraform / Infrastructure as Code.
- Deploy and manage containerized workloads using Kubernetes / GKE.
- Develop and maintain robust CI/CD pipelines for application and ML model deployment.
- Automate infrastructure provisioning, configuration, deployment, and operational processes.
- Support the deployment and operationalization of machine learning models and AI workloads.
- Work with ML/Data Science teams to establish reliable model development and deployment pipelines.
- Implement monitoring, logging, alerting, and observability across GCP environments.
- Apply DevSecOps practices across infrastructure and deployment pipelines.
- Ensure cloud platforms meet enterprise requirements for security, scalability, reliability, and performance.
- Troubleshoot infrastructure, deployment, networking, and production issues.
- Collaborate with engineering and architecture teams to establish platform standards and best practices.
- Optimize cloud infrastructure for performance and cost.
- Support environments across development, QA, staging, and production.
Required Technical Skills
GCP / Cloud
- Strong hands-on experience with Google Cloud Platform
- GKE / Kubernetes
- Compute Engine
- Cloud Storage
- BigQuery
- Pub/Sub
- IAM
- Cloud Monitoring / Logging
- VPC / networking
DevOps / Platform Engineering
- Strong DevOps / Platform Engineering background
- Terraform
- CI/CD pipelines
- GitHub Actions / GitLab CI / Jenkins
- Docker
- Kubernetes
- Helm
- Git
AI / ML Platform
- Experience supporting AI/ML workloads in cloud environments
- ML model deployment and operationalization
- MLOps concepts
- Experience with model serving / inference platforms
- Familiarity with Python and ML frameworks is preferred
- Experience integrating AI/ML platforms with enterprise applications
Observability & Security
- Cloud monitoring and logging
- Prometheus / Grafana or equivalent
- Application and infrastructure observability
- IAM and cloud security
- Secrets management
- DevSecOps practices
Preferred Skills
- Experience in Insurance / Financial Services
- Experience with Fraud Detection / Fraud Analytics / Risk Platforms
- Experience working with regulated enterprise environments
- Experience with MLOps platforms
- Vertex AI experience
- Python scripting
- ArgoCD / GitOps
- Ansible
- Service mesh technologies
- Experience with API platforms and microservices
More about this job
Responsibilities
Design, build, and operate secure, scalable AI/ML platforms on GCP, including infrastructure as code, Kubernetes deployments, CI/CD pipelines, and model operationalization. Establish monitoring and security practices, troubleshoot production issues, optimize performance and cost, and collaborate with data science, engineering, and architecture teams.
Requirements
The role requires strong hands-on GCP and DevOps/platform engineering experience, including Terraform, Kubernetes/GKE, CI/CD, and cloud infrastructure operations. Candidates should have experience supporting AI/ML workloads and model deployment, with knowledge of observability, cloud security, and DevSecOps; Python and ML frameworks are preferred.
Skills
- Google Cloud Platform
- Kubernetes
- Google Kubernetes Engine
- Terraform
- CI/CD
- Docker
- Helm
- Git
- GitHub Actions
- GitLab CI
- Jenkins
- AI/ML Platform Deployment
- MLOps
- Python
- Cloud Security
- Observability
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Security & Safety
Keywords
- Google Cloud Platform
- GKE
- Kubernetes
- Compute Engine
- Cloud Storage
- BigQuery
- Pub/Sub
- IAM
- Cloud Monitoring
- Cloud Logging
- VPC
- Terraform
- Infrastructure as Code
- CI/CD
- Docker
- Helm
- Git
- GitHub Actions
- GitLab CI
- Jenkins
- AI/ML
- MLOps
- Model Serving
- Python
- Prometheus
- Grafana
- DevSecOps
- Vertex AI
- ArgoCD
- Fraud Detection