Machine Learning Platform Engineer

Job Summary

To support the development of a cutting-edge machine learning platform, the full-time Machine Learning Platform Engineer will design scalable ML systems, implement real-time inference solutions, and lead feature engineering efforts, with the flexibility to work remotely or from Atlanta, GA.

Key responsibilities:

• Design and build end-to-end machine learning infrastructure for high-availability production services
• Automate deployment of low-latency services to enable real-time model inferences across the platform
• Lead the creation and optimization of a centralized feature store for training complex models

Required qualifications:

• 3+ years of experience in Platform Engineering with a focus on scalable ML platforms
• 1+ years of experience managing ML systems end-to-end in production environments
• Proficiency in streaming architectures (Kafka/Flink/PubSub) and building low-latency services
• Expertise in MLOps and experience with tools like SageMaker and VertexAI
• Proficient in Python, with additional skills in Go, C++, or Rust as a strong plus