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Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Some knowledge of Data Science/Machine Learning. Excellent knowledge of SQL in a large scale data warehouse or data lakehouse environment such as Spark, Databricks, Presto/Athena/Trino. Experience working in cloud environment, preferably AWS using tools such as EMR/Spark, Kafka, Databricks, S3, EC2.
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As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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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.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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AWS is looking for a Generative Artificial Intelligence and Machine Learning (Gen AI&ML) Specialist, who will be the Subject Matter Expert (SME) for helping Health Care & Life Sciences customers in the AMERICAS design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q. As part of the team, you will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive the adoption of AWS for the AI/ML platforms.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Reporting to the VP of Data Science and Machine Learning, this person will be responsible for leading a team of data scientists who are aligned by therapeutic areas and support the brands (marketing and sales teams) in their strategy and execution.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
Part-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are a small but mighty group of problem solvers, innovators, and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we're looking for people to join our team who are ambitious, curious, and self-motivated.
$187,500 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Remote (Regardless of Location): $272,400 - $310,900 for Sr Distinguished Machine Learning Engineer. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
Full-timeRemoteExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Collaborate with other technology teams to help engineer data sets that data science teams uses to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning.
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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Experience and domain-knowledge in at least 2-3 of these: CPU (preferably, ARM and/or RISC-V), or GPU, or DSP; SoC Memory hierarchy; NoC/Fabric; low-power design and verification; high-speed peripheral interfaces such as CSI, HDMI/DP, I3C, USB, PCIe; Machine-learning / AI; FPGA.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. A global Best Places to Work, DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more, ADP has a deep commitment to diversity, equity, and inclusion.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Leverage detailed knowledge of advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research. Minimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
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machine learning jobs Title: sr in Little Ferry, NJ
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