MLOps Engineer MLEAS

NavitasPartners

Job Location:

Toronto - Canada

Monthly Salary: Not Disclosed

Posted on: 6 days ago

Vacancies: 1 Vacancy

Job Summary

Job Title: MLOps Engineer

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:

Bachelors degree in Computer Science or related field.
5 years of MLOps or ML Engineering experience.

Mandatory Industry Experience:

Must have prior BFSI experience supporting regulated AI/ML environments model governance risk management fraud analytics or financial decisioning systems.

For more details reach at

Required Experience:

Job Title: MLOps EngineerPosition 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 ...