Remote Senior ML Inference & Deployment Engineer

Hitachi, Ltd.; San Jose (CA); Remote; USD 130,000 - 140,000; Full time

Benefits offered by this job

Flexible schedules

Work from home

Professional development

Job summary

GlobalLogic is seeking a senior ML deployment engineer to own end-to-end model deployment, benchmarking, and monitoring in a cloud-native, Java-based streaming pipeline.

You will collaborate with ML researchers, deploy in Google Cloud Platform, operate hybrid cloud/on-prem environments, and lead performance testing for inference frameworks.

A BS/MS in CS/EE/Math is required and 10+ years in engineering with ML deployment experience.

Qualifications

• Bachelor’s or Master’s degree in CS, CE, Math or related field.
• 10+ years of engineering experience with ML inference and deployment.
• Experience with Java or JVM-based systems.

Responsibilities

• Learn and adapt rapidly to unfamiliar technologies.
• Deploy models in cloud environments, preferably Google Cloud Platform.
• Test and debug distributed systems end-to-end.
• Benchmark models and collaborate with researchers on ML inference.
• Collaborate with researchers to guide inference decisions.

Skills

ML inference

Deployment

Quality testing

Java exposure

Streaming architectures

Hybrid cloud

Education

Bachelor’s or Master’s degree in CS/EE/Math

Job description

GlobalLogic is seeking a senior ML deployment engineer to own end-to-end model deployment, benchmarking, and monitoring in a cloud-native, Java-based streaming pipeline.

You will collaborate with ML researchers, deploy in Google Cloud Platform, operate hybrid cloud/on-prem environments, and lead performance testing for inference frameworks.

A BS/MS in CS/EE/Math is required and 10+ years in engineering with ML deployment experience.