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Experience with Machine Learning/Deep Learning Excellent verbal and written communication skills ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering LOCATION: Austin, TX #LI-SL3 At AMD, your base pay is one part of your total rewards package.
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Operate a variety of manual and CNC machine tools such as lathes, milling machines, and precision grinders to fabricate or modify metal, plastic or rubber parts, tools, or fixtures to exacting tolerances and dimensions.
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Power Analyzers, Oscilloscopes, Protocol analyzers RAS validation experience Memory validation experience (LPDDRx, DDRx and HBM) PCIe and other HSIO validation and debug Power circuits debug experience (voltage regulators and PMICs) High level familiarity with Machine Learning.
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Machine design of mechanical system hardware and associated tooling and test platforms using both traditional and additive manufacturing methods. Machine design of mechanical system hardware and associated tooling and test platforms using both traditional and additive manufacturing methods.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Comet is backed by more than $63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are seeking a talented Senior SRE/Deployment Engineer to join our team and help build, deploy and maintain our products across various platforms, including multi-cloud, on-premises, and bare-metal deployments.
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This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques. Expert in leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps.
$210,850 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Demonstrated aptitude and experience with: (a) assembling and synthesizing disparate remote sensing products for mapping building/infrastructure development, (b) assessing flood vulnerability, (c) artificial intelligence/machine learning techniques applied to mapping buildings and flood exposure, (d) surface water flow andfloodmodeling, and (e)social vulnerability metrics.
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Electronic, information technology, machine learning, malware, photonics, processor, programming, software. - Have the opportunity to publish work externally at top machine learning, computer vision, graphics, and robotics conferences (NeurIPS, CVPR, SIGGRAPH, CoRL, etc.
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Job Duties:•Read and follow Job Ticket instructions•Prepare artwork and create print ready files for digital printing•Troubleshoot files for potential issues•Perform basic preventive maintenance (TPM) in the machine•Promote Zone Safety Hazard avoidance according to training provided, PPE usage.
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Experience with machine learning algorithms and tools (e.g., Pytorch, JAX), artificial intelligence, deep learning, and natural language processing. This is an exciting opportunity for AI or Machine Learning professionals and academics to join the brightest minds, helping Australia's most potent generative AI-powered platform unleash the world's creativity through novel tools for human-ai collaboration and intelligent systems.
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Within AWS, we're focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Central to Data Production is the HIPE application ( Human-in-the-Loop Processing Engine ), which uses sophisticated machine learning and carefully-designed UI/UX to help experts quickly and accurately extract data from medical records as we receive them.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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machine mining jobs Title: senior in Texas, TX
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