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 long-term ML infrastructure roadmap and best practices for model lifecycle management
• Design, build, and maintain production-grade model deployment and inference systems
• Collaborate with cross-functional teams to support end-to-end ML workflows and improve system reliability

Required Qualifications

• 4+ years of experience in ML Ops, ML infrastructure, or backend engineering supporting production ML systems
• Experience in cloud-native environments (AWS and/or GCP) with ML workload deployment
• Proven track record in designing and implementing CI/CD pipelines for ML systems
• Strong programming experience in Python and familiarity with infrastructure-as-code tools like Terraform
• Hands-on experience with ML lifecycle tooling and managing GPU-based workloads