MLOps Engineer (BFSI) - MLEAS

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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