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Vertex AI: Proficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models. In-depth understanding of Google Cloud services such as Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and more.
$302,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning. Familiarity with public, private, and hybrid cloud architectures, as well as expertise in crafting cloud-native solutions on one or more of the following platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP), or IBM.
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Our Machinery and Equipment Specialties department seeks a field engineer to provide machinery and equipment boiler inspections.
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Set ups may include but are not limited to the following production equipment: Sets up and controls all aspects of the extruder machine operation. Responsibilities The Extrusion Operator assists in setting up and operating thermoplastic extruders and associated production equipment to convert plastic resins into blown film for flexible plastic sheeting, tubing or bags.
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Oven, steamer, scale, big mixer, shrink wrap machine, CARS program, register, walk in cooler, pizza cutter, knives, and slice cases. Accountable and Reports to: District Store Director, Store Manager, Assistant Managers of Perishables, Store Operations, and Health Wellness Home; Food Service Director; Mia Italian Department Manager.
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Standard tools and equipment used in a coffee shop environment including disposal, trash compactor, dishwasher, register system, ice machines, pop machine, scales, and knives. Accountable and Reports to: District Store Director, Store Manager, Assistant Managers of; Store Operations, Perishables, and Health Wellness Home; Food Service Director; Coffee Shop Department Manager.
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Perform fabrication and installation of fixturing, guarding and any machine parts needed; this includes some of the following: design, layout, sheet metal work, welding, machine shop work, carpentry, and painting.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Qualifications/Requirements:The ideal candidate will be an experienced self-starter capable of identifying, sizing, selecting, and quoting single and multi-axis motion control solutions involving all motion technologies on our line card (mechanical positioners and components, robotics, gearboxes, servos, steppers, motion/machine controls, AC & DC drives and motors, feedback devices and value add services.
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Engage in the development and application of AI and machine learning models, particularly within geospatial contexts. Experience with development frameworks and familiarity with AI and machine learning technologies.
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The primary scope of this position includes supporting tasks relevant to earth system and renewable energy system data collection, preparation, analytics, and visualization approaches, and contributing to literature review, technical reports, and exploration of machine learning and deep learning algorithms.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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All kitchen equipment including: Cash register, fryers, ovens, stoves, grills, toasters, can opener, griddle, slicer, refrigerated food prep case, thermometers, knives, dishwasher, ice machine, coffee maker, scales, pop machine, telephone, Point of Sale system.
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Our cutting-edge platform leverages machine learning and automation to optimize cloud costs and performance. Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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In this role, you will collaborate with ML researchers, technical artists, and simulation engineers to build realistic, accurate and detailed 3D models using machine learning from a variety of data sources.
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We run primarily on Firebase and GCS, with some machine learning infrastructure on AWS. We're increasingly using Docker (both internally and for customer facing products like our edge inference server.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago
machine job in Des Moines, IN, Kansas
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