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)
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