• ServiceNow Solutions Architect

    GovCIO (Sacramento, CA)
    …Serve as the primary technical liaison for ServiceNow architecture, integrations, and data model strategy. + Establish and enforce platform governance, ... guidelines. + Drive CMDB maturity, discovery architecture, service mapping, and data quality initiatives. + Architect and guide integrations using MID Servers,… more
    GovCIO (12/16/25)
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  • Implementation Consultant, Oracle Sales Cloud…

    Oracle (Sacramento, CA)
    …REST, XML, XML-Schema, XSL, WS standards/Security etc. + Strong knowledge of the CPQ Data Model + Work closely with business analysts and project managers to ... Sales campaigns + Integration with marketing activities + Customer Data Management (CDM) + Centralized customer master data... Data Management (CDM) + Centralized customer master data for accounts, contacts, and organizations + Data more
    Oracle (12/06/25)
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  • ServiceNow Enterprise Architect

    Applied Materials (Santa Clara, CA)
    …ITOM, CMDB, and emerging modules, with deep knowledge of the Common Services Data Model (CSDM) for platform alignment + Extensive experience with ServiceNow ... (such as LDAP, Active Directory, SAP, and custom APIs), ensuring seamless data flow and system interoperability. + **Leadership & Mentorship:** Provide technical… more
    Applied Materials (10/31/25)
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  • Principal Machine Learning: Generative AI. United…

    Autodesk (San Francisco, CA)
    …techniques. + Experience with AWS cloud services and SageMaker Studio for scalable data processing and model development + Strong foundation in computer science ... like Spark, Ray, or similar distributed systems for large-scale data processing and model training + Proven record in developing and deploying high-scale… more
    Autodesk (12/06/25)
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  • Sr Principal AI Software Engineer - ML & AI…

    Oracle (Sacramento, CA)
    …training/inference workloads + Have deep understanding of AI/ML workflows, encompassing data processing, model training, and inference pipelines. + Experience ... achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions… more
    Oracle (11/25/25)
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  • Staff AI/ML Fullstack Engineer - AV ML Infra

    General Motors (Sunnyvale, CA)
    …resources. + **AV Pipelines & Lineage:** Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering ... a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the… more
    General Motors (01/16/26)
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  • Staff AI/ML Engineer - AV ML Infra

    General Motors (Sunnyvale, CA)
    …+ **AV Pipelines & Lineage:** Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering ... a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the… more
    General Motors (10/31/25)
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  • Applied AI/ML - Vice President

    JPMorgan Chase (Palo Alto, CA)
    …and Large Language Models, within the payments space. + Build and maintain data pipelines for model training and evaluation using industry-leading tools. + ... at the intersection of research and production, taking full ownership of model performance from concept to deployment. You will collaborate with scientists and… more
    JPMorgan Chase (12/26/25)
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  • Guidance Navigation & Control Engineer…

    The Boeing Company (Edwards AFB, CA)
    …and quality from the system level to component level. + Use multidisciplinary model data (aero, mass properties, propulsion, etc.) to develop and refine ... to assess and refine the control law design. + Perform model validation against test data to inform and improve the accuracy of the simulation environment.… more
    The Boeing Company (12/25/25)
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  • Senior Psychologist or Sociologist - AI Psychology…

    Google (Mountain View, CA)
    …psychological principles (eg, cognitive biases, well-being, mental health, developmental) and empirical data to define model behavior in ways that promote ... expertise in psychology and technical understanding of the AI model development pipeline to proactively identify, research and address...behalf. For more information on how we handle your data , please see our Applicant and Candidate Privacy Policy… more
    Google (12/10/25)
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