Description

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

This role is on-site.

Responsibilities

• Architect and maintain production-grade ML infrastructure on GCP.
• Build and optimize CI/CD pipelines for model deployment.
• Implement monitoring systems to ensure model reliability and performance.
• Resolve complex technical issues related to infrastructure and billing.

Required Skills

• 8+ years of relevant experience in software or ML engineering.
• Strong proficiency in Python.
• Hands-on experience with Infrastructure as Code (IaC).
• Deep knowledge of Google Cloud Platform (GCP).
• Proven track record of designing scalable ML systems.
• Ability to explain complex technical concepts to diverse audiences.

Preferred Skills

• Master's degree in Computer Science or a related field.
• Experience with ML tooling frameworks.

Key Skills

Education

Any Graduate