Machine Learning Infrastructure Engineer

Job Summary

Architecting and leading the technical vision for ML platform initiatives, the full-time Machine Learning Infrastructure Engineer will design scalable infrastructure and systems to support the development, deployment, and operation of ML models in a hybrid work environment.

Key responsibilities

• Architect end-to-end ML infrastructure, including data processing, feature management, and model serving
• Design and implement next-generation ML platforms that accommodate diverse ML workloads
• Establish best practices for ML observability, monitoring, and operational excellence

Required qualifications

• 10+ years of software engineering experience, with 5+ years focused on ML infrastructure
• Deep expertise in distributed systems and data processing at scale
• Strong background in ML platform development and MLOps practices
• Experience building production ML infrastructure for critical business applications
• Proven track record of leading complex technical initiatives