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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