Description

You design and maintain the infrastructure, CI/CD pipelines, and monitoring systems that move machine learning models from experimental research to scalable, production-ready enterprise software.

This role is on-site.

Responsibilities

• Automate ML pipelines to ensure consistent model delivery.
• Manage infrastructure using Infrastructure as Code (IaC) practices.
• Implement and maintain monitoring systems for production models.
• Develop and optimize CI/CD workflows for ML workloads.

Required Skills

• 6+ years of professional experience in infrastructure or DevOps roles.
• Strong proficiency in Python.
• Hands-on experience with CI/CD pipeline design and automation.
• Deep knowledge of Google Cloud Platform (GCP).
• Experience with Infrastructure as Code (IaC) tools.
• Familiarity with ML tooling and lifecycle management.

Preferred Skills

• Experience scaling ML systems in enterprise environments.
• Background in software engineering or data engineering.

Key Skills

Education

Any Graduate