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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Hands on machine shop skills using CNCs, 3D printers, lathe, mill, welder, and other machine shop equipment. Knowledge of and experience in CFD, FEA (NASTRAN, FEMAP, Ansys, etc), heat transfer, structural dynamics analysis.
$80,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Operate CNC Swiss machine to perform machining operations, such as turning, boring, facing, and threading on castings, forgings, and bar stock: etc. Background in the aerospace or medical field machining using exotic materials a plus; Studies blueprint and set up sheets to determine machining to be done, dimensions of parts, and permissible tolerances, and planned sequence of operations on the machine.
$21 - $35 an hourExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Develop and implement train machine learning models using Google Vertex AI and Typescript, Express. Design, build, deploy machine learning models and microservices on the Google Cloud Platform.
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CNC Machine Operator Requirements and Qualification. CNC Machine Operator Duties and Responsibilities. In this position, your primary responsibility is to program the machine and produce quality parts.
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4+ years of experience implementing and applying algorithms for machine learning and artificial intelligence. Proficiency with standard machine learning tools and frameworks: Python, PyTorch, Huggingface Transformers.
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Due to growth, GLOCK is currently searching for motivated, mechanically inclined Machine Operator to fill their open positions in their Smyrna, GA location. Glock is a leading global manufacturer of firearms and revolutionized the firearms industry.
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We work on cutting edge technologies like Machine Learning, Hadoop, Python, Scala, Pega,. We work on cutting edge technologies like AI, Machine Learning, Hadoop, Python, Scala, Pega,. Opportunity to validate the applications using latest tools & technologies like Selenium,Appium,SpecFlow, Lettuce, Cucumber, UFT, qTest, LoadRunner, SOA Tester, TOSCA, Test Complete, Java ,Python,VBScript & JIRA.
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Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful. We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on-prem and in the cloud.
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In addition to Broom Machine, additional machinery used includes forklift, electric drill, MIG welder, former, rollers. Old Dominion Brush Company Inc. (parent company - Alamo Group) is currently accepting applications to fill the position of Broom Assembler - Broom Machine Operator in its Broom Department in Richmond, VA.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Optimize and fine-tune machine learning models for performance and efficiency. 1 + years of experience in machine learning engineering or a related field. Stay updated on the latest advancements in machine learning and AI technologies.
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The Senior Principal Engineer- Site Reliability Engineering supporting Artificial Intelligence/Machine Learning/High Performance Compute Solutions, Service Delivery will be responsible for providing the primary management, administration, support, and ongoing maintenance of customer Platforms within a 24x7x365 datacenter environment.
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