Description

You will engineer and maintain the infrastructure supporting AI/ML workloads on Google Cloud Platform.

This role is on-site.

Responsibilities

• Design and manage AI/ML platform infrastructure using Infrastructure as Code.
• Optimize and enable distributed training processes for large-scale ML models.
• Develop and support infrastructure components using Python.
• Operate and manage cloud resources within the GCP environment.

Required Skills

• 10+ years of professional software engineering experience.
• 3+ years specialized experience in AI/ML infrastructure.
• Proficiency in Python, specifically supporting PyTorch or TensorFlow.
• Expertise with Terraform for Infrastructure as Code.
• Hands-on experience with Google Cloud Platform (GCP).
• Understanding of distributed computing and GPU computing concepts.
• Ability to operate effectively in ambiguous technical environments.

Key Skills

Education

Any Graduate