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    GenAI Architects - Austin, United States - SPG Consulting

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    Description

    Job Description

    Job Description
    Role:
    &
    GenAI Architects
    Location:& Austin, TX( onsite)

    Job Type:
    & Full-time


    Job Function:
    &
    TECHNOLOGY


    Desired Skills:
    &
    Data Science | Machine Learning | Python | Core JAVA


    Job Description:

    Must-Have:

    • years of IT experience
    • Strong programming skills in Java or Python&
    • Operationalizing AI, mapping requirements to implementation, selecting the appropriate technologies, and evaluating non-functional attributes such as security, usability, and stability.
    • AI Architect closes this data-to-insight-to-action loop, which requires deep understanding of the applications and integration infrastructure environment. Setting up AI/ML processing environments in IT landscape is a must.
    • Detailing mapping IT and security process to AI process. Influencing and working with business partners to establish and accelerate AI adoption. Audit AI solutions for architecture, scalability and security; especially in an enterprise landscape with cloud as apriority.
    • Mapping requirements to implementation - Analyzing, coordinating, prioritizing and optimizing requirements. Ensuring implementation even with constraints.
    • Selecting technology - selecting appropriate technologies from the many open source, commercial on-premises, and cloud-based offerings available. Integrating a new generation of tools within the existing environment is also to help ensure access to accurate and current data. Because technology in this domain is evolving rapidly,
    • Ensures that components can be replaced with well-suited alternatives that do not require any adjustment or downtime.
    • Foresight when selecting new technologies like Functional and non functional requirements - considering aspects like security, usability and stability
    • Leading the ITSAC discussions and working with stakeholders for approval
    • Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning.
    • Expertise in various machine learning frameworks - TensorFlow, Scikit-Learn and PyTorch.

    Good-to-Have:

    • Gen AI Certified / AWS Certified Solution Architect
    • Experience supporting RFI/RFP activities

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