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Ierustech.com. IERUS participates in projects that generally seek to apply and advance machine-learning (ML) and artificial intelligence (AI) as applied to our relevant domains of expertise.
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Strong foundation in machine learning, deep learning, and natural language processing (NLP) concepts. Basic understanding of AI and machine learning concepts, or a strong interest in learning about them.
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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
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At least 2 years’ experience with Pytorch, Tensorflow or other Deep Learning frameworks. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Applied Machine Learning frameworks like PyTorch, scikit-learn, TensorFlow, and. The AI Group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology.
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Hybrid, 3 daysExperience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or FoundryExperience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.
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You will join a team of 3-5 developers to implement and test solutions in the areas of networking and machine learning for mixed wireless and wired networks, with the goal of CI/CD (continuous integration/continuous development), integration and testing, and with time you will take on lead roles and interface with customers.
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5+ years of experience in algorithm development, with a focus on AI and machine learning algorithms. or Java, and experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
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Ideally, you are familiar with modern machine learning frameworks such as TensorFlow or PyTorch. Perso Engine is an enablement organization that enables over 20+ product engineering teams across Etsy to leverage machine learning in building recommendations, personalization, and discovery products.
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Machine learning, artificial intelligence, neural networks experience is a huge plus (e.g. Tensorflow) Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop.
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The successful candidate will lead a team in developing sophisticated data solutions that incorporate machine learning, advanced language models, statistical analysis, and data visualization techniques to address the complex challenges of biomedical data science.
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Leverage scalable SOTA AI/ML methodologies for different modalities and use cases to drive innovation and expand the company’s capabilities in technological advancements and rely on proficiency in building machine learning models, ML frameworks (TensorFlow, PyTorch), data visualization, Python, R, SQL, and Azure Data Services.
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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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Experience in Machine Learning algorithms and hands-on experience with ML toolkits like TensorFlow or PyTorch is a plus. The opportunities include developing a cutting edge run-time system, pushing the envelope on machine learning based natural language processing in TTS and deploying AI/ML models to benefit millions of users.
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Experience or knowledge of machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. Drive the adoption of AI and machine learning across the organization.
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