Machine Learning Engineer with Google Cloud Platform, Java (W2 Requirement)

Role: Machine Learning Engineer with Google Cloud Platform, Java (W2 Requirement)

Location: Remote

Duration: Long term

 Note: Need 10+ Years of experienced candidates.

Job Details:

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