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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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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadershipWe'd love to find someone who is.
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A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem.
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Conducting analysis of cryptocurrency transactions using both open-source and third-party tools. CITB prosecutes cases involving check and payment card fraud, network intrusions, theft of digital assets, online trafficking of child sexual abuse material, and cyber-stalking, as well as white-collar crimes involving money laundering and threats to financial institutions.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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To build a world-class research program for AI- and data-driven innovation in human health, the AI Department is seeking five (5) outstanding candidates for early-career faculty positions at Instructor level with an excellent track record in artificial intelligence, and machine learning to join its faculty as a Eric and Wendy Schmidt AI in Human Health Fellow in 2024.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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An elite quantitative trading firm, that has invested 100s of millions into machine learning research to build one of the world's most advanced prediction machines - is actively looking for a highly skilled Deep learning specialist to join their business and become a major player in the direction of their ML research.
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We’re looking for an innovative Machine Learning Engineer passionate about using NLP and LLMs to help us transform healthcare by powering proactive care at population scale. We are looking for an entrepreneurial Machine Learning Engineer to join our lean, mean, innovative team of people on a mission to build the best AI-driven smart care management platform on the planet.
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We want employees to reside where they feel most creative and productive and are open to remote locations. You will be part of a distributed team and are open to sharing and adjusting to typical working hours (Pacific Standard Time.
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Deploy machine learning solutions on platforms like Google Cloud and Nvidia. Lead/Senior Machine Learning Engineer or Data Scientist (Computer Vision) Lead the development of computer vision and machine learning projects from start to finish.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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The Youth Worker will lead a group of 18-20 students daily in activities including sports, social-emotional learning, enrichment, and academic support programming. Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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The successful candidates will contribute to the drug discovery effort as well as the development of novel therapeutics across several areas based on a strong interdisciplinary background, as our interests range from genome editing, bioengineering for scalable micro-tissue production, to machine learning approach for the analysis of high content phenotypic screens.
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machine learning open source jobs Company: Amazon in New York, Columbia, Missouri
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