Machine Learning Infrastructure Engineer

Job Summary

A company is looking for a Machine Learning Infrastructure Engineer.

Key Responsibilities

• Develop self-service infrastructure components to eliminate manual bottlenecks
• Design, implement, and maintain CI/CD infrastructure for ML model development
• Implement monitoring and logging solutions to ensure ML system reliability

Required Qualifications

• Proven experience in building infrastructure for ML development and deployment
• Proficiency with cloud services (AWS), infrastructure-as-code (Terraform), and workflow orchestration (Airflow)
• Strong understanding of CI/CD tools such as GitLab CI
• Familiarity with ML platforms and tools (e.g., Databricks, MLflow) and data platforms like Snowflake
• Prior work in cross-functional platform roles or on enablement teams (preferred)