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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning. A bachelor's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering, or a related field.
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As an Artificial Intelligence Intern, you will be part of pioneering projects involving machine learning, natural language processing, computer vision, and more. To Qualify: Ideal candidates are current students pursuing or recent graduates of a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or related fields with a focus on AI technologies.
$2,000 - $4,000 a monthInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc. Bachelors or Masters degree in Computer Science, Machine Learning or related field.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Master’s/PhD in Computer Science, Math, Physics, Data Science, Artificial Intelligence, or STEM related field. The successful candidate will be instrumental in developing and optimizing cutting-edge AI models and AI-based products, with a strong focus on generative technologies and natural language processing.
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As a Computer and Information Research Scientist (Data Scientist) you will perform data cleaning and data pipeline engineering, analyze textual and numerical data, and may utilize various tools in Azure and AWS cloud environments to deploy generative AI, natural language processing, and machine learning workflows to support the Centers for Disease Control – National Center for Immunization and Respiratory Disease Data Science Support Services project.
$100,000 - $112,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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7+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks.
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Required to have knowledge and experience in unsupervised learning, principle component analysis(PCA), GLM, lasso/ridge regression, random forest, gradient boosted machines(GBM’s), XGBoost, baysian optimization, natural language processing(NLP) and deep neural networks/ back propagation.
$80,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Solid understanding of computer vision or natural language processing. BA or BS degree computer science, artificial intelligence, machine learning, or related field.
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BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Statistics or another quantitative field is preferred. Experience with Natural Language Processing techniques.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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