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    Machine Learning Engineer - Oklahoma City, United States - NLP PEOPLE

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    Description
    Machine Learning Practitioner – Applied LLM/ Gen Ai/ GCP – Up to $210,000- Hybrid

    Role Description


    Working with a Private Equity portfolio company, you will be part of a special task team focused on building, testing and scaling applications of Generative AI and analytics to improve revenue, product features and efficiencies across the company.


    Requirements:

    • Refining use-cases,
    • Selecting resources needed (ML Ops, governance, compute instances, pipelines, storage, etc),
    • Analyse and pre-process data if necessary,
    • Building pipelines,
    • Choosing foundation models,
    • Fine-tuning and/or pre-training models,
    • Deploying and testing proofs of concept
    • Demonstrable hands-on knowledge of applied generative AI models, mainly in in text, knowledge classification and recommendation engines
    • 1+ years Experience fine-tuning and/or pre-training Large Language Models for customised applications, applying this knowledge to practical scenarios,
    • 5+ years Experience working with GCP (Google Cloud Platform) building Machine Learning applications and deploying cloud resources in a production environment.
    • Knowledge of ML ops frameworks
    • Proficient with Python or R as well as relevant frameworks (Keras, PyTorch)
    • Experience in Gen Ai

    Skills:

    • Flexible, curious, and ambitious
    • Good communicator
    • Eagerness to learn new techniques, solve problems and contribute in a team environment

    Job Description:

    • Hybrid- Texas, Austin
    • Salary: Up to $210,000 + Benefits + Bonus
    How do I Apply?

    For more information or to apply for the Machine learning position, please email

    or you can apply through You can also visit our vacancy page to see other opportunities


    Company:
    Digital Republic Talent


    Qualifications:

    Language requirements:

    Specific requirements:

    Educational level:

    Level of experience (years):
    Senior (5+ years of experience)


    How to apply:
    Please mention NLP People as a source when applying


    Tagged as:
    Classification ,

    Industry ,

    Language Modeling ,

    Machine Learning ,

    NLP ,

    Unspecified

    #J-18808-Ljbffr


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