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Support data scientists by provisioning and managing infrastructure like GPU VMs for machine learning and Azure Databricks. Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, Azure Logic Apps, Azure Function apps, Azure Cognitive Services, and Containers.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers.
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In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI.
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Must have a strong proficiency in Python, Java, or Groovy for data manipulation, statistical analysis, and machine learning model development. Utilize advanced statistical techniques and machine learning algorithms to build predictive models.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Research/Applied Science experience in Natural Language Processing, Computer Vision, Multimodal analysis, Deep Learning, Machine Learning, or a related field. We are seeking a highly skilled and passionate Research Scientist to join our Responsible & OpenAI Research (ROAR) team in Azure Cognitive Services.
$94,300 - $182,600 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USABASIC QUALIFICATIONSPhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience.
$159,100Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with cognitive computing, data integration, data mining, Natural Language Processing, Hadoop platforms, or automating machine learning components. Knowledge of Jira, Git, Kafka, Kubernetes, Rancher, or Docker.
$58,400 - $133,000 a yearPart-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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With our team, you will be challenged to build scalable solutions, while embracing a fail-forward mentality critical to evolution. This position will work with cutting edge technology, deliver high quality solutions across various industries and collaborate with teams on engagements that range in size and scope.
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Data Preparation tasks include, but are not limited to: data feed automation using industry standard tools, data tagging, metadata tagging, data export standards, data quality application and business rule creation, data munging and wrangling in support of machine learning tools and techniques, and performing advanced Extract-Transform-Load activities to maximize dataset exploitability.
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Prior research experience in cognitive science, research experience with non-human animal or child cognition, and with computational approaches such as machine learning, neural nets, hierarchical regression analyses, and Bayesian models of behavioral data using R Stan.
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The fellow will be mentored by Dr. Oana Dumitrascu, MD, MSc ( ) and Dr. Gina Dumkrieger, PhD. The ideal candidate will have a strong interest in and quantitative experience with neuroimaging, retinal imaging, large databases (e.g., UK Biobank) and machine learning/artificial intelligence models.
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Candidates with a strong background and in Computer Science, electrical engineering, physics, statistics, or math, and who have experience in programing, software engineering, signal detection, and machine learning are highly encouraged to apply.
Full-timeExpandApply NowActive JobUpdated 2 days ago
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