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Posted:
June 17, 2026
Location:
Surrey, British Columbia, Canada
Job Description
Job Title: MLOps Engineer (BFSI)
Position Overview:
The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models.
Key Responsibilities:
- Build ML deployment pipelines.
- Implement CI/CD for machine learning workloads.
- Automate model retraining and validation.
- Establish model monitoring and observability.
- Manage ML infrastructure and environments.
- Ensure compliance and governance requirements.
Required Skills:
- MLOps
- MLflow
- Kubeflow
- Docker
- Kubernetes
- Python
- GitHub Actions
- Azure DevOps
- Terraform
- Monitoring Tools
Required Qualifications:
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Job Type:
Full-time
Location:
Surrey, Canada
Posted:
June 17, 2026
Deadline:
July 27, 2026