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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Submit ApplicationJob Details
- Location Kingston, Ontario
- Job Type Full-time
- Category Engineers
- Posted Date June 08, 2026
- Application Deadline July 18, 2026