Unsupervised learning Jobs in San Jose, CA

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Agentic Data Engineer(AI Engineer)-EST Candidates Only

Silver Xis, Inc.

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Remote

Full-time

Artificial Intelligence Engineer - Agentic Data Engineer Richmond, VA REMOTE Resource will need to be in Richmond, VA quarterly. The Information Technology Division is seeking a highly skilled Artificial Intelligence Engineer 4- Agentic Data Engineer to design, develop, train and deploy data models that leverage agentic AI that solve real-world problems. Responsibilities: Gather business needs and translate them to analytics.Produce code that is clearly documented and maintain a version-contro
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Posted 19 hours ago

Artificial Intelligence Engineer

Hanker Systems Inc

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Remote or Richmond, Virginia, USA

Contract

Hello All, This is Archana from Hanker Sytems Inc. I'm trying to reach you regarding the role Artificial Intelligence for the Remote. VDOT - Artificial Intelligence Engineer - Agentic Data Engineer (766844) State of Virginia Location: 1401 E Broad St Richmond, VA 23219 6 months contract Both Phone and In Person Hybrid $100/hr on w2 with no benefits or $110/hr on c2c Resource will need to be in Richmond, VA quarterly. The Virginia Department of Transportation's Information Technology Division is
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Posted 13 hours ago

Senior AI/ML Engineer

Sparibis, LLC

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Remote

Full-time

Location: 100% Telework Years Experience: 10+ years professional experience Education: Bachelor degree in IT related field Clearance: Applicants must be able to obtain and maintain up to a Public Trust clearance. United States Citizenship is required as part of the eligibility criteria to be able to obtain this type of security clearance. Key Skills: Deep understanding of key statistical learning concepts such as linear regression, logistic regression, regularization, tree-based methods, unsupe
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Posted 29 days ago

Data Science Lead / Manager

Randstad Digital

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Remote or San Francisco, California, USA

Full-time

job summary: Data Science Lead / Manager Will manage the team (potentially up to 4 DS resources) Looking at high level consumer portfolios, segmentation of users, discount profiles, RFM, Predictive modeling, "Open, click, subscribe" data Day to day: 50/50 - tech hands on support working with their tools VS managerial - working with business units and stakeholders to discuss their teams needs, work with LS partners, etc. This resource will need to be strong technically, but they have to feel c
Posted 13 hours ago | Updated 1 hour ago