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Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
$450,000Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.
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Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.
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Exciting projects with real-world impact in the field of artificial intelligence and machine learning. At our company, we're passionate about pushing the boundaries of artificial intelligence and machine learning.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence.
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Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The successful candidate will play a crucial role in building and leading this team, implementing robust testing and monitoring processes, and collaborating across Cash Business, Product, Machine Learning, Compliance, and Counsel teams to enhance Cash App's risk management capabilities.
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A minimum of 2 years' experience in the professional practice of design thinking, product management, new product development, artificial intelligence and machine learning, and/or relevant expertise in corporate innovation, strategy and competition in high technology business, government innovation policy, or not-for-profit organizations concerned with social impacts of science, technology and innovation, by start date.
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Job Title:VP, Data Center Power ProcurementCompany:PrologisA day in the lifeWith rapid increase in Artificial Intelligence (AI) and associated need for data center development, Prologis is developing a strong pipeline of real-estate properties globally for our customers many of which are the hyperscalers.
$250Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Faculty DevelopmentThe Instructional Designer will partner with members of the Instructional Design team, other Educational Technology Services colleagues, the USF Center for Teaching Excellence, and the Provost office to provide broad faculty development programming around instructional design principles, learning theory, research-based instructional strategies, and effective use of educational technologies.
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The role will involve building and managing multi-modal databases consisting of text, numbers and imaging data already within electronic health records at UCSF medical center and facilitate use of this database to train machine learning models towards enhancing ophthalmological disease diagnosis and management.
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artificial machine learning jobs Title: data science in Alameda, CA
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