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Build these Search products using technologies such as Elastic Search, REST web services, SQL/Kafka, Machine Learning, and more. Apply data mining and machine learning to improve the ranking and recommendations as part of search work-flow.
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Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.
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Advanced Data Analysis: Utilize statistical methods and machine learning algorithms to analyze and interpret complex datasets related to user experience, performance metrics, and digital interactions.
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While not necessarily requiring advanced knowledge in machine learning, this role is crucial in helping us analyze data effectively, connect the dots, and provide valuable insights to drive our advertising technology forward.
$142,000 - $215,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadershipAmazon is committed to a diverse and inclusive workplace.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Understand and implement Fusion Purchasing data models, write Fusion BIP reports and complex SQL queries (Oracle/MySQL.
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PayPal Global Analytics and Data Science team is looking for an experienced Machine Learning Scientist to help us develop and enhance machine learning/AI capabilities and innovate to grow PP products.
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Our Data Scientists work with leading organizations to transform data into actionable insights using advanced machine learning methods powered by world-class technology. and using specialized machine learning libraries (Fastai, Keras, Tensorflow, pytorch, sci-kit learn, Hugging Face, etc.
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We empower our leaders, product managers, marketing managers, and analysts to make better decisions, uncover new opportunities, and shape strategy by tackling complex, high-stakes technical challenges using advanced quantitative methods, including experimental methods, causal inference, and machine learning.
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If you’re looking for a place that helps you do the best work of your career, look no further than BILL.This position is based in San Jose, CA Make Your Impact Within a Rapidly Growing Fintech Company Our team’s mission is to build a world-class platform for data analytics and machine learning to fuel existing and new business critical initiatives.
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You will have the opportunity, depending on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; and causal inference with missing data - to name a few.
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Collaborate in the architecture and design of data pipelines and infrastructure to support machine learning workflows. We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Risk Engineering Team. The ideal candidate will be adept in developing and implementing advanced machine learning models to enhance our capabilities in fraud detection, for example bot detection, credit card chargeback prevention, promotion abuse protection and so on.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Solid understanding of algorithms, data structures, and runtime/space complexityExperience working with distributed system software architectureBasic understanding of HPC GPU cluster, slurmBasic understanding of Machine learning concepts and terminologiesBackground with databases - SQL and NoSQL (prometheus, elasticsearch, opensearch, redis, etc.
$148,000 - $276,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Engineer, you'llperform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.
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