• Agentic AI, AI & Data Specialist Leader

    Deloitte (Sacramento, CA)
    …Flows, and RAG pipelines for enterprise-grade agentic solutions; Lambda, ECR and EC2 based deployment ; Amazon Q Business & Q Developer (enterprise AI assistant ... and sponsors. + Business Development: Participate in sales pursuits as a pursuit lead or subject matter advisor. Participate in the oral presentation of the proposal… more
    Deloitte (11/26/25)
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  • Applied Scientist, FAR (Frontier AI & Robotics)

    Amazon (San Francisco, CA)
    …vision-language-action models, efficient model inference, video tokenization - Lead technical projects from conceptualization through deployment , ensuring ... with our world-class research team to solve complex technical challenges - Lead technical initiatives from conception to deployment , working closely with… more
    Amazon (11/30/25)
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  • Senior, Software Engineer - Machine Learning

    Walmart (Sunnyvale, CA)
    …and technical guidance. **What you'll do:** + End-to-End ML System Development: Lead the design, development, implementation, testing, and deployment of reliable ... learning systems - from initial ideas and design to deployment , monitoring, and updates. This role requires strong technical...specific focus might align with roles like a Tech Lead guiding a team, an Architect defining a critical… more
    Walmart (11/14/25)
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  • Senior Principal Site Reliability Engineer…

    Oracle (Sacramento, CA)
    …new organization - Oracle Health. This team will focus on product deployment , sustainability, troubleshooting and product strategy for Oracle Health, while building ... focus on architecture, production operations, capacity planning, performance management, deployment , and release engineering. You will work with multiple… more
    Oracle (11/25/25)
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  • REMOTE Principal AI/ML Developer

    Oracle (Sacramento, CA)
    …real-world use cases. + Build end-to-end ML pipelines: data ingestion, feature engineering, model training, validation, and deployment . + Work closely with data ... team and help shape the future of AI at Oracle. In this role, you'll lead the design and development of advanced AI applications, particularly those powered by large… more
    Oracle (11/25/25)
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  • Senior AI Cybersecurity Consultant

    IBM (San Francisco, CA)
    …and log data for model training. * Apply MLOps/LLMOps practices for model deployment , monitoring, and retraining. * Ensure data privacy and compliance ... are seeking a highly skilled and forward-thinking AI Cybersecurity Consultant to lead the integration of Artificial Intelligence and Large Language Models (LLMs)… more
    IBM (11/12/25)
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  • Senior Staff Software Engineer, GRACE…

    LinkedIn (Mountain View, CA)
    …ᐧ Serve as an escalation point for complex technical, data quality, and model deployment issues; provide guidance on resolution paths. ᐧ Contribute to ... ᐧ Knowledge of CI/CD, MLOps, and infrastructure-as-code concepts for secure, reliable model and platform deployment . ᐧ Experience with GRC, compliance, or… more
    LinkedIn (11/25/25)
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  • Principal Applied Scientist - AI & Robotics

    General Motors (Mountain View, CA)
    …initiatives that deliver end-to-end manipulation policies. You will architect new model families, lead cross-functional research efforts, and guide teams ... for embodied manipulation policies that span perception, training, control, and deployment . + Invent or advance robot learning architectures (eg, diffusion- based more
    General Motors (10/10/25)
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  • Pega Administrator - DevOps & AWS Cloud

    Cognizant (Sacramento, CA)
    …stability, scalability, and performance of Pega environments through automation, cloud deployment , and continuous integration. **In this role, you will:** + ... Pega PRPC environments, including installation, configuration, patching, and upgrades. + Lead platform and release management across development, QA, and production… more
    Cognizant (11/25/25)
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  • Staff Software Engineer - Machine Learning

    General Motors (Sacramento, CA)
    …optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles. ... create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation. + Work...information is a good faith estimate only. It is based on what a successful applicant might be paid… more
    General Motors (11/15/25)
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