Generative AI Engineer - Erlanger, United States - Insight Global

    Insight Global
    Insight Global Erlanger, United States

    3 weeks ago

    Insight Global background
    Description
    Job Description

    A large Agriculture organization is seeking a Generative AI Engineer that will sit onsite in the Greater Cincinnati Ohio area.

    We're looking for a Generative AI Engineer to join our Artificial Intelligence team and work with our team of data scientists to automate thetraining and evaluationofmodels within an Azure ecosystem.

    This position will partner with many business, product and science teams, so written and in-person communication skills are extremely important.

    They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for building complete engineering solutions supporting the latest advances in artificial technology.

    We have many different functions in the team, and this role requires a broad range of skills such as machine learning, data, optimization, and platform/infrastructure engineering.

    Key Responsibilities

    • Study and transform data science prototypes
    • Design machine learning systems
    • Research and implement appropriate ML algorithms and tools
    • Design, build and run services at high scale and availability
    • Run machine learning tests and experiments
    • Train and retrain systems when necessary
    • Extend existing ML libraries and frameworks
    • Keep abreast of developments in the field
    • Demonstrates strong business acumen and understanding of manufacturing and finance concepts
    • Adept at quickly acquiring software skills
    • Evaluate new AI & software tools through POCs and propose solutions for implementation
    • Document guides, systems design, reference architectures and implementations

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

    We are an equal opportunity/affirmative action employer that believes everyone matters.

    Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

    If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

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    Skills and Requirements
    8+ years of experience with Python engineering with expertise with large language modules
    5+ machine learning and engineering
    Machine learning building generative AI models, understand how to condense or expand that data
    Experience working with Azure cloud
    Dealing with massive amounts of data how much
    6+ months with one of the following: Prompt Engineering or, RAG (Retrieval Augmented Generation) or FineTuning
    Masters Degree DevSec Ops
    Azure DevOps null

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

    We are an equal employment opportunity/affirmative action employer that believes everyone matters.

    Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances.

    If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to