IT - Technology Architect | Java | Java Libraries

ClifyX, INC

  • Richardson, TX
  • 1 day ago

    Highlights

    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.

    Numbers & Facts

    LocationRichardson, TX

    Description

    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

    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

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