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MLOps Engineer MLEASNavitasPartners • Toronto, Ontario, Canada
MLOps Engineer MLEAS

MLOps Engineer MLEAS

NavitasPartners • Toronto, Ontario, Canada
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

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:

IC


Employment Type : Full Time
Experience: years
Vacancy: 1
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MLOps Engineer MLEAS • Toronto, Ontario, Canada

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