AIOps MLOps Engineer

Immediate need for a talented AIOps MLOps Engineer. This is a 10-12+ Months Contract opportunity with long-term potential and is located in Canada (Remote). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-05972

Pay Range: $60 - $63/hour.  
 
Key Responsibilities:

• Environment Provisioning
• Conduct workshops to gather GCP environment requirements.
• Design cloud architecture including VPC, IAM, subnetting, quotas, endpoints, and security controls.
• Lead the provisioning of Sandbox, Dev, and Prod GCP projects using Terraform.
• Oversee API enablement, configuration, and validation testing.
• Role Definitions IAM Governance
• Define IAM roles for AI platform users (Owner, Support, ML Engineer, Viewer).
• Create IAM matrices, RACI charts, and detailed access control documentation.
• Ensure least-privilege access policies across Vertex AI and GCP services.
• Coordinate reviews and approvals with security and architecture teams.
• AIOps Framework Development
• Design and implement drift detection, anomaly monitoring, canary releases, automated rollback, and observability components.
• Build reusable CI/CD pipelines using Vertex Pipelines and Cloud Build.
• Develop SOPs, diagrams, runbooks, and the full AIOps operations playbook.
• Execute and validate synthetic drift, monitoring, and pipeline test scenarios.
• Lifecycle Processes
• Define the complete ML lifecycle from environment setup through deployment, monitoring, retraining triggers, and retirement.
• Integrate lifecycle processes within CI/CD and AIOps automation.
• Document all lifecycle flows in Confluence and conduct validation sessions.
• Resource Planning Cost Modelling
• Develop team structure, roles, and support plans.
• Build cost and usage models using GCP calculators and automation scripts.
• Prepare development and production usage forecasts and long-term TCO estimates.

Key Requirements and Technology Experience:

• Must have skills: - AI, ML, GCP, Vertex AI, IAM, VPC, Cloud Build, Cloud Run, Cloud Functions, Pub/Sub
• Strong expertise in Client Cloud Platform: Vertex AI, IAM, VPC, Cloud Build, Cloud Run, Cloud Functions, Pub/Sub.
• Deep experience with Terraform and Infrastructure as Code workflows.
• Practical experience with AIOps and MLOps frameworks.
• Proficient in Python for automation and monitoring jobs.
• Experience designing and operating CI/CD pipelines for ML workloads.
• Knowledge of observability tools such as Cloud Monitoring, Logging, and Open Telemetry.
• GCP Professional ML Engineer or Cloud Architect certification.
• Experience with Looker or other operational dashboards.
• Background in ML engineering or SRE.

Our client is a leading IT services and consulting Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
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