Senior AI ML Infrastructure Engineer

Job Summary

A company is looking for a Sr. AI/ML Infrastructure Engineer to build and maintain scalable infrastructure for machine learning models.

Key Responsibilities

• Build out scalable infrastructure for training, evaluating, deploying, and monitoring ML models
• Deploy and manage applications in Kubernetes clusters
• Collaborate with machine learning engineers to support experimentation platforms and training frameworks

Required Qualifications

• 5+ years of experience in building production-level ML platforms and infrastructure
• Proficiency in Python, Java, or Scala
• Experience with building production-ready RESTful APIs
• Familiarity with containers and Kubernetes
• Experience with LLMs and supporting infrastructure for LLM applications