• Director, Software Engineering ( AI

    PennyMac (Agoura Hills, CA)
    … Storage, BigQuery, Vertex AI ) to build and manage scalable and cost-effective cloud infrastructure for AI / ML workloads. + Design and implement ... and resolve performance and scalability issues in models and infrastructure . + Implement and manage MLOps practices to ensure...production. + Stay abreast of the latest advancements in AI / ML , NLP, computer vision, and cloud more
    PennyMac (05/23/25)
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  • Business Development Manager, Cloud

    NVIDIA (Santa Clara, CA)
    …roles in cloud , startups, or developer ecosystems. + Deep understanding of cloud infrastructure , AI / ML workloads, and startup buying behavior. ... of NCP offerings. The NCP Partner Manager will help drive adoption of cloud -based AI infrastructure by both existing and prospective NCP customers who are… more
    NVIDIA (07/22/25)
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  • Principal Cybersecurity Architect - AI

    JPMorgan Chase (Seattle, WA)
    …of highly distributed applications + Experience designing/delivering secure cloud infrastructure architectures for our enterprise AI / ML applications + ... infrastructure architectures for our enterprise Artificial Intelligence/Machine Learning ( AI / ML ) applications. The role requires a cloud security… more
    JPMorgan Chase (06/29/25)
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  • Vice President, Machine Learning Engineering…

    JPMorgan Chase (New York, NY)
    …use, governance, and controls around the build, adoption and maintenance of cloud infrastructure , data and AI / ML products. With a focus on both ... cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that… more
    JPMorgan Chase (06/08/25)
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  • AI Application Architect

    ManTech (Chantilly, VA)
    …customer needs. + Lead the design and implementation of scalable cloud infrastructure for large-scale AI / ML management applications. + Design and ... with multiple cloud providers, open-source software, GOTS, COTS technologies, and AI / ML models, supporting a Zero Trust Architecture (ZTA). + Monitor and… more
    ManTech (05/01/25)
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  • AI Engineer/Data Scientist

    JPMorgan Chase (Plano, TX)
    …functionality problems independently with little to no oversight + Practical experience with cloud -native AI / ML infrastructure and deployment at ... **Required qualifications, capabilities, and skills** + 5+ years of experience in AI / ML development, with specific focus on generative AI and large… more
    JPMorgan Chase (07/11/25)
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  • Senior Data Science Workbench Analyst (Engineer)…

    M&T Bank (Wilmington, DE)
    …junior engineers. This senior role requires a deep understanding of cloud infrastructure , workflow automation, and AI / ML platform governance. The Senior ... related field. + 5+ years of experience in cloud -based infrastructure management and AI / ML workbench administration. + Expertise in Databricks, and … more
    M&T Bank (06/12/25)
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  • AI Cloud Solution Architect

    GE HealthCare (Bellevue, WA)
    …domains such as software development, cloud computing, systems engineering, infrastructure , security, networking, ** AI / ML platforms** , and data ... a similar cloud certification * Professional experience architecting and operating ** cloud -based healthcare AI / ML solutions** , with awareness of… more
    GE HealthCare (05/10/25)
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  • Project Engineer (Future Openings)

    In-Q-Tel, Inc. (Mclean, VA)
    …and support of a range of hardware and software technologies. These can include cloud infrastructure , AI / ML applications, geospatial analytic tools, data ... government partners. Focus areas within the project engineering team include: + Cloud (AWS) infrastructure | data | cybersecurity + Embedded systems | RF |… more
    In-Q-Tel, Inc. (07/08/25)
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  • Senior ML Ops Engineer - Hybrid

    Modernizing Medicine (Boca Raton, FL)
    …products, with a heavy focus on automation, Python-based pipelines, and scalable cloud infrastructure . Your role: + Deploy and manage AI / ML models in ... health with DataDog. + Ensure scalable, secure, and cost-efficient infrastructure for ML systems. + Collaborate with...equivalent experience. + 5+ years in DevOps, MLOps, or Cloud Engineering with production ML deployment experience.… more
    Modernizing Medicine (07/19/25)
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