Description

You will engineer and maintain the infrastructure supporting AI/ML workloads on GCP.

Responsibilities

• Design and manage AI/ML platform infrastructure using Infrastructure as Code (IaC).
• Optimize and enable distributed training processes for large-scale ML models.
• Develop and support infrastructure components using Python for ML frameworks.
• 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 Infrastructure as Code tools, including Terraform.
• Experience with GCP cloud environments.
• Familiarity with distributed computing and GPU computing concepts.
• Ability to operate effectively in ambiguous technical environments.

Key Skills

Education

Any Graduate