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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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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.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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Background in Artificial Intelligence (AI), Machine Learning (ML) Natural Language Processing (NLP) Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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In addition, the group extracts relationships insights by applying - distributed - graph, machine learning, and natural language processing algorithms on this Knowledge Graph, as well as on other text document collections, and feeds these insights, via means of reliable and scalable APIs, UI applications, and mobile applications, to several other firm products and employees across multiple divisions: Compliance, Investment Banking, Global Markets, Asset Management, to name a few.
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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Our group provides break-through AI solutions within legal, tax andernment domains partnering with product managers, software engineers and subject matter experts using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques.
$250,000 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Research application of machine learning, deep learning and quantum computing inspired methods in interest rate cash and derivative pricing and hedging. Statistics, probability based calculations, and stochastic calculus; Data analysis, times series analysis and machine learning skills; Fixed income market data and fixed income financial product knowledge; Investment and quantitative methods; Risk management, portfolio optimization and strategy research.
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Minimum of 2 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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Design, prototype, and test novel clinical and digital interventions and models, leveraging machine learning (including computer vision and natural language processing) to analyze and predict patient outcomes relevant to musculoskeletal, orthopedic, and rheumatological health.
$150,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. Passion about continuously learning new technologies, frameworks, and services.
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Our technology, powered by the latest natural language processing and deep learning technology, is used across industries, to power digital workplaces, accelerate digital transformation, and provide workers with contextual and secure access to the data they need to achieve their missions.
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Evaluate and implement technologies incorporating machine learning, artificial intelligence, and music recognition technologies to further SME's content protection strategies. Knowledgeable about machine learning, artificial intelligence, and music recognition technologies.
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5+ years of experience in working in Computational Linguistics or Natural Language Processing, specifically within context of chatbot development or related AI applications. As a Computational Linguist in the Machine Learning & Optimization team, you are an integral part of the group that optimizes features, models and AI capabilities for the Chase Digital Assistant and other conversational AI products.
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Experience with data science, deep learning and natural language processing. Leverage software engineering, machine learning, data science and data engineering techniques, sourcing and using a wide range of data types as you go, to enhance our platform's capabilities and deliver innovative solutions to our customers.
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machine learning natural processing jobs Company: Apple in New York, NY
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