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2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field.
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As an AI Analyst at Regal Medical Group you will play a pivotal role in leveraging artificial intelligence (AI) and machine learning (ML) techniques to enhance various aspects of our healthcare services.
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Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret.
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The innovation will build on machine learning, artificial intelligence, and big data research. Experience in leading, building and supporting scalable and reliable data solutions, AI/machine learning powered systems that can enable fast prototyping and advanced analytics using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.
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Coursework or specialization in artificial intelligence, machine learning, data science, or computer vision. Stay updated on the latest developments and advancements in artificial intelligence and machine learning.
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As an Artificial Intelligence and Machine Learning (AIML) Architect, you will be responsible for designing and implementing cutting-edge AI and ML solutions to address complex business problems.
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We are seeking highly skilled AI Engineers with PhDs from Ivy League Universities to join our team in New York City. As a key member of our quantitative research and development team, you will have the opportunity to work on ground-breaking projects at the intersection of artificial intelligence and finance.
$180,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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InPowered s AI platform enables brands to maximize their content marketing ROI. Powered by Artificial Intelligence and years of machine learning, their Content Intelligence and Content Distribution solutions allow marketers to collect proprietary data and use it to drive real ROI positively changing brand perception, increasing action taken onsite, lead generation and user engagement.
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The company is using artificial intelligence and natural language processing, to mine structured and unstructured patient data to identify eligible participants for clinical trials rapidly and accurately.
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The Research for Industry (RFI) initiative seeks to identify and accelerate scientific advances in technologies such as data platforms, connectivity, robotics, and artificial intelligence (AI) and bring them to bear on opportunities in a variety of industries, including retail, financial services, energy, and agri-food, and others.
$133,600 - $256,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Stay updated with the latest advancements in the field of machine learning, deep learning, and artificial intelligence. You have hands-on experience training and implementing machine learning models using tools at scale, such as PyTorch, TensorFlow, Python and associated packages.
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Demonstrated understanding of artificial intelligence and machine learning concepts. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
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Bachelor/Master degree in CS, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience. · Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
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Contact Center Solutions: Fueled by cloud based artificial intelligence and machine learning, we implement next generation contact center solutions, purpose built for each client. We achieve these goals by leveraging industry leading cloud based artificial intelligence and machine learning technologies.
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