Description

You will build and optimize the underlying infrastructure required to scale large machine learning models.

Responsibilities

• Enable and optimize distributed training to support scaling large ML models.
• Design, build, and manage infrastructure for AI/ML platforms and workloads using Infrastructure as Code.
• Support and optimize infrastructure for deep learning frameworks.
• Navigate highly ambiguous and dynamic technical environments to deliver platform stability.

Required Skills

• 9+ years of professional software engineering experience.
• 3+ years of specialized experience in AI/ML infrastructure.
• Proficiency in Python.
• Experience with PyTorch, TensorFlow, or similar frameworks.
• Experience with distributed computing and GPU computing.
• Experience with cloud environments including GCP, AWS, or Azure.
• Experience with Infrastructure as Code (IaC) tools such as Cloud Formation or Pulumi.
• Bachelor's degree in Computer Science or equivalent experience.

Preferred Skills

• Experience using Terraform for infrastructure management.
• Deep experience with GCP environments.

Key Skills

Education

Bachelor's degree