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    Staff Data Scientist - California, United States - Zscaler

    Zscaler
    Zscaler California, United States

    1 week ago

    Default job background
    Description

    Job Summary:
    Zscaler is seeking an experienced and innovative Data Scientist specializing in Generative AI to join our dynamic team.

    The ideal candidate will possess in-depth knowledge and practical experience with Large Language Models (LLMs), AI operations (AI Ops), AI toolchains, Retrieval-Augmented Generation (RAG), fine-tuning techniques, and model evaluation methodologies.

    You will play a crucial role in advancing our AI-driven products and services, leveraging cutting-edge AI technologies to drive forward-thinking solutions and advancements.

    Be a part of a startup team in the company, working on creating a new product.

    Engage in the development of state-of-the-art Gen AI technology


    Key Responsibilities:

    Advanced LLM Development:
    Implement and enhance Large Language Models using techniques like Retrieval-Augmented Generation (RAG) for improved context understanding and response generation

    Continuously refine and fine-tune AI models to cater to specific use cases and improve overall performance

    AI Ops and Toolchain Optimization:
    Manage AI operations to ensure efficient deployment and maintenance of AI models.

    Optimize AI toolchains for streamlined development, testing, and deployment of AI solutions.


    Comprehensive Model Evaluation:
    Develop and implement robust model evaluation frameworks to assess model performance, accuracy, and reliability.

    Conduct thorough testing and validation of AI models to ensure they meet high-quality standards.

    Data Analysis and Algorithm Development:
    Analyze vast datasets to extract meaningful insights and inform model improvements.

    Create and implement advanced machine learning algorithms tailored to specific AI applications.


    Cross-Functional Collaboration:
    Collaborate with various teams to integrate AI technologies into diverse products and services.

    Lead innovation initiatives and contribute to the company's AI strategy and vision.


    Documentation and Knowledge Sharing:
    Maintain comprehensive documentation of methodologies, experiments, and findings.

    Share knowledge and insights with team members and stakeholders, ensuring transparency and collaborative growth.


    Personal Attributes:
    Exceptional analytical and problem-solving skills.

    Effective communication and collaboration abilities.

    Adaptable to rapidly changing technologies and environments.

    Deep passion for AI research and continuous learning.


    Qualifications:
    PhD or Master's degree

    in Computer Science, Data Science, Artificial Intelligence, or related fields.

    8+

    years of industry experience

    Extensive experience with

    Large Language Models , including


    RAG
    and

    fine-tuning techniques .

    In-depth knowledge of

    AI Ops, AI toolchains,

    and

    model evaluation methods .

    Proficient in

    machine learning, deep learning, and statistical modeling .

    Strong

    programming skills

    in Python, R, or similar languages.

    Familiarity with

    AI frameworks

    (e.g., TensorFlow, PyTorch) and

    cloud-based AI services.

    US resident.

    #LI-KF3

    #LI-REMOTE

    #J-18808-Ljbffr
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