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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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Our team develops state-of-the-art recommendations systems, including deep learning based retrieval systems for personalized recommendations, machine learned ranking models, GenAI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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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.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Stay current with emerging technologies: Keep abreast of the latest advancements in AI and machine learning to identify new opportunities for innovation and maintain a competitive edge. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan.
$115,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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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.
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Our division focuses on gathering, enriching, and processing data for Machine Learning in different AI domains. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world.
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Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas.
$118,000 a yearInternExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As an experienced Machine Learning Engineer , you will develop and deploy machine learning solutions. You have experience with machine learning frameworks such as Tensorflow and PyTorch.
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For data warehousing, data engineering, semantic modeling, analytics, reporting, and machine learning. Strong proficiency in Apache Spark and Delta Lake for Data Engineering. This role will be client facing, innovating with solutions from the Microsoft Data Platform stack including Fabric, Azure Synapse, Power BI, and SSAS.
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Andes has perfected the technology of quick and efficient design of custom extensions to its proprietary CPU. With over 10 billion cumulative shipments of SoCs embedded with Andes CPU IP, Andes products have covered audio, Bluetooth, gaming, GPS, machine learning, MCU and more.
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Experience with neural deep learning methods and machine learning. 3+ years of building machine learning models for business application experience. The Automated Reasoning Group in AWS Cloud Operations is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to automate the management of cloud compute resources, with an initial view towards reactive, incident-driven remediation, and a longer-term view towards preventative action taken.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applications. 5+ Years of experience in developing in Python for Machine Learning and Computer Vision applications developing in C/C.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago
machine learning jobs in Portland, CA, Pennsylvania
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