Machine Learning Engineer with Google Cloud Platform

Job Details: Data & Machine Learning Engineer

Skills

• Google Cloud
• Google Cloud Platform
• Java
• Machine Learning (ML)
• Systems Modeling
• Streaming
• Debugging

Summary

Introduction: The System Engineer will be responsible for working on the primary platform of Google Cloud Platform, deploying models, and integrating them into production applications and Java-based streaming pipelines. They will also be involved in monitoring model behavior in production, benchmarking, and performance testing.

Responsibilities

• Evaluate and benchmark new ML inference frameworks
• Deploy models to Google Cloud Platform and integrate them into production applications and Java-based streaming pipelines
• Own deployment automation end-to-end
• Monitor model behavior in production for real end-users
• Design and execute benchmarking, performance testing, and quality testing on ML models
• Perform model sampling to support quality evaluation and researcher feedback loops
• Debug issues across the full stack
• Partner with ML researchers to provide benchmarking feedback and guide inference decisions
• Adapt rapidly to non-standard and evolving tech stacks across hybrid infrastructure

Requirements

• Bachelor's or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field
• Strong foundation in ML inference, deployment, and quality testing
• Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks
• End-to-end problem-solving mindset
• Core ML knowledge sufficient to benchmark models and collaborate with researchers
• Experience deploying models in cloud environments, ideally Google Cloud Platform

Good to Have

• Exposure to Java or JVM-based systems
• Familiarity with streaming data architectures
• Experience in hybrid cloud/on-prem environments