Machine Learning Infrastructure Engineer

Job Summary

A company is looking for a Machine Learning Infrastructure Engineer to join their Data & Platform team.

Key Responsibilities

• Define and manage the ML infrastructure roadmap to support experimentation and AI initiatives
• Design and maintain production-grade model deployment systems and automate ML lifecycle workflows
• Collaborate with cross-functional teams to translate data science needs into production-ready solutions

Required Qualifications

• 4+ years of experience in ML Ops, ML infrastructure, or backend engineering
• Experience in cloud-native environments (AWS and/or GCP) with ML workload deployment
• Proven track record in designing CI/CD pipelines for ML systems
• Strong programming experience in Python; familiarity with Go, Java, or Scala is a plus
• Experience with infrastructure-as-code tools such as Terraform or CloudFormation