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In this role, the Staff Data Scientist will work closely with cross-functional teams to design, deploy, and improve scalable machine learning models for edge devices. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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5+ years of industry or research experience in state-of-the-art techniques in Machine Learning, Deep Learning, Computer Vision and Image Processing. Use or develop AI and machine learning algorithms, such as one-shot/few shot learning, supervised/unsupervised learning, deep learning, reinforcement learning and others, to solve applied problems in computer vision.
$152,000 - $209,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Masters degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Robotic Simulation with ROS, RVIZ, Unreal Engine, Unity, and Gazebo Machine Learning (ML) and Computer Vision (CV) Open-Source Frameworks Linux - As a user at least, but also administration and kernel development Distributed computing and inter-process communication (IPC) mechanisms RTOS for mission-critical applications Agile and Hybrid-Agile design methodologies Embedded Development in C/C.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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As a Machine Learning Engineer, Openings Studio, you will roll up your sleeves to help us discover new and interesting ways to make our users’ lives faster and easier than ever before, leveraging both traditional machine learning techniques and Large Language Modeling (LLM) and Generative AI solutions.
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Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. Build end-to-end machine learning workflow, from data pipeline, modeling, tuning, evaluation, to continuous improvement, etc.
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We are seeking a machine learning engineer to work closely with our product and research teams to develop SOTA deep learning software. Solid knowledge of machine learning and deep learning fundamentals with experience in one or more of computer vision, NLP, speech, reinforcement learning, generative models, etc.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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The law firm is seeking a highly skilled Machine Learning Technology Specialist to join its dynamic team. Extensive experience in Machine Learning, including neural networks (NN) and deep learning algorithms.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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machine learning jobs Title: data scientist Company: Wells Fargo Bank
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