Description

You will build and maintain the infrastructure and pipelines required for ML model deployment and monitoring.

This role is on-site.

Responsibilities

• Design and implement automated infrastructure using Terraform, CloudFormation, or Kubernetes.
• Build CI/CD pipelines that incorporate model training, validation, and deployment.
• Integrate data pipelines, model training, and inference processes with existing infrastructure.
• Manage development, testing, staging, and production environments.
• Implement monitoring and logging to track performance, data drift, and versioning.

Required Skills

• 5+ years of experience in DevOps or ML environments.
• Hands-on experience with Terraform, CloudFormation, or Kubernetes.
• Proficiency with Docker for containerization.
• Experience building CI/CD pipelines for machine learning workflows.
• Knowledge of implementing monitoring for data drift and model performance.
• Ability to integrate model training and inference into production infrastructure.
• Degree in any graduate field.

Key Skills

Education

Any Graduate