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Hands-on experience in one or all the following areas: LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, tracking, etc. B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Applying data science methods (i.e., statistical modeling, machine learning techniques: regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
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The Data Scientist - Machine Learning at The Friedkin Group (TFG) will design, develop, implement, maintain, and improve advanced data science initiatives across business units, directly aligning with strategic objectives.
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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.
$80 - $90 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are surpassing the boundaries of classical physics and modern supercomputing, ushering in a new era of computing that promises to revolutionize industries including medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and beyond.
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IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. The design workflows and PIC-based systems you design, build, and use will help drive the overall development of a new and game-changing photonics technology to enable scalable quantum computing.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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SAIC's National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Experience with project work in machine learning, deep learning, computer vision, NLP, or chatbot development. As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2) Data Science/Machine learning track. Difference between Machine learning, Artificial Intelligence and Deep learning. Artificial Intelligence and Machine learning.
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Currently pursuing a degree in Data Science, Statistics, Computer Science, Economics / Econometrics, Chemical Engineering, or related field with an emphasis on machine learning or statistical methods for data analysis.
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machine learning computer science cloud computing jobs Company: Square One Resources in Anoka, Minnesota
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