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It Technology Architect Java Java Libraries

  • It Technology Architect Java Java Libraries job type Posted on: Nov 09, 2026
  • It Technology Architect Java Java Libraries experience level Ipolarity LLC
  • It Technology Architect Java Java Libraries employment type Richardson, Texas
  • It Technology Architect Java Java Libraries employment type Onsite
  • It Technology Architect Java Java Libraries salary Full-time

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Job Title :

It Technology Architect Java Java Libraries

Job Type :

Full-Time

Job Location :

Richardson Texas United States

Remote :

No

Jobcon Logo Job Description :

POC - Diksha

Job details:
Actual Job title: Technology Architect | Java | Java Libraries
Work Location including Zip code: Richardson, TX 75082, USA
Is this a Hybrid/ fully Onsite: Hybrid
Vendor rate range : ####
Interview Process (Virtual/Video or Face-to-face): Virtual/Video
Do you consider candidates who are willing to relocate? No

Must Have Skills
ML inference, deployment, and quality testing
Machine Learning frameworks (TensorFlow, PyTorch, JAX or similar)
Google Cloud Platform

Nice to have skills
Java or JVMbased systems
Experience in hybrid cloudonprem environments

Job description
Talent should have 7+ years of experience with a strong foundation in ML inference, deployment, and quality validation. Should be capable of end-to-end ownership from model deployment to user impact, with the ability to quickly adapt to new technologies.

Should have strong expertise in ML benchmarking and collaboration, along with hands-on experience deploying models on cloud platforms, preferably GCP. Familiarity with Java/JVM-based systems for model integration, streaming data architectures, and hybrid (on-prem and cloud) environments is essential.

Must possess solid system design and distributed systems knowledge for troubleshooting, and hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.

PLEASE NOTE Talent should have strong working experience in the above mentioned technology areas.

Top 3 responsibilities you would expect the Subcon to shoulder and execute
Evaluate and benchmark new ML inference frameworks to guide production decisions
Design and execute benchmarking, performance testing, and quality testing on ML models
Deploy models to GCP and integrate them into production applications and Javabased streaming pipelines

Project Code: Google Yahoo PSF for Mail BE Jul to Dec

Jobcon Logo Position Details

Posted:

Nov 09, 2026

Reference Number:

6529-11099

Employment:

Full-time

City:

Richardson

Job Origin:

CIEPAL_ORGANIC_FEED

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POC - Diksha

Job details:
Actual Job title: Technology Architect | Java | Java Libraries
Work Location including Zip code: Richardson, TX 75082, USA
Is this a Hybrid/ fully Onsite: Hybrid
Vendor rate range : ####
Interview Process (Virtual/Video or Face-to-face): Virtual/Video
Do you consider candidates who are willing to relocate? No

Must Have Skills
ML inference, deployment, and quality testing
Machine Learning frameworks (TensorFlow, PyTorch, JAX or similar)
Google Cloud Platform

Nice to have skills
Java or JVMbased systems
Experience in hybrid cloudonprem environments

Job description
Talent should have 7+ years of experience with a strong foundation in ML inference, deployment, and quality validation. Should be capable of end-to-end ownership from model deployment to user impact, with the ability to quickly adapt to new technologies.

Should have strong expertise in ML benchmarking and collaboration, along with hands-on experience deploying models on cloud platforms, preferably GCP. Familiarity with Java/JVM-based systems for model integration, streaming data architectures, and hybrid (on-prem and cloud) environments is essential.

Must possess solid system design and distributed systems knowledge for troubleshooting, and hands-on experience with ML frameworks such as TensorFlow, PyTorch, or JAX.

PLEASE NOTE Talent should have strong working experience in the above mentioned technology areas.

Top 3 responsibilities you would expect the Subcon to shoulder and execute
Evaluate and benchmark new ML inference frameworks to guide production decisions
Design and execute benchmarking, performance testing, and quality testing on ML models
Deploy models to GCP and integrate them into production applications and Javabased streaming pipelines

Project Code: Google Yahoo PSF for Mail BE Jul to Dec

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