Description

You will manage and scale machine learning operations, deployment pipelines, and infrastructure on Google Cloud Platform.

This role is on-site.

Responsibilities

• Deploy and maintain machine learning models within GCP environments.
• Build and optimize MLOps workflows to streamline model lifecycles.
• Develop scalable machine learning infrastructure using Python.
• Implement and manage model training using TensorFlow and PyTorch.

Required Skills

• 11+ years of professional experience in engineering roles.
• Deep expertise in Google Cloud Platform (GCP).
• Proven experience with MLOps practices and implementation.
• Advanced proficiency in Python.
• Hands-on experience with TensorFlow.
• Hands-on experience with PyTorch.
• Bachelor's degree or equivalent experience in any graduate field.

Key Skills

Education

Any Graduate